available under NASA sponsorShip 7.6- 1 0. 46 8. OA€¦ · "VMade available under NASA sponsorShip...
Transcript of available under NASA sponsorShip 7.6- 1 0. 46 8. OA€¦ · "VMade available under NASA sponsorShip...
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VMade available under NASA sponsorShip in the interest of early and wide dis- 76- 1 0 46 8 semination of Earth Resources Survey Pogram information and without liability OAshyfor any use Made thereof
Title of Investigation 28990 Investigation of Environmental Change Pattern
in Japan
Principal Investigator Dr Takakazu Maruyasu
Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co Investigator Hiroaki Ochiai Toba Merchant Marine College
Toba City Mie-Ken Japan
Date of Submission Jdn30 1976
Quarterly Progress Report for Period
April-June 1976
Oigintl ph tograply may be purchased from EROS Data Center 10th and Dakota Avenue Sioux 5ails SO 57198
(E76-10468) INVESTIGATION OF ENVIRONMENTAL N76-31616 CHANGE PATTERN IN JAPAN APPLICATION OF HCS ro LANDSAT-2 DATA TO ENVIRONMENTAL STUDIES IN COASTAL ZONE Quarterly Progress Report Unclas Apr -_Jun 1976[_Science Univ of Tnky 3_43- 00468
httpsntrsnasagovsearchjspR=19760024528 2020-05-25T121326+0000Z
2
Application of LANDSAT-2 Data to SIS Code 9026
Environmental Studies in Coastal Zone Investigation 28990 No
Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Red tide in Seto Inland Sea
Seto Inland Sea especially eastern half of it is noted as
one of the most polluted inland water area in Japan and we have
experienced red tide through the year in everywhere According
to the report announced by The Branch Office of Fishery Agency in
Kobe the total occurrence of red tide for atyearinKSeto Inland
Seais inclined to increasihg yearbyyear and it exceeded two
hundred times in recent year as shown in Table 1
Table 1 Total Occurrence of Red Tide in Seto Inland Sea
Year 1967 1968 1969 1970 1971 1972 1973 1974
Total No 48 61 67 79 136 164 210 298
As shown in Figure 1 almost area of Osaka Bay Sea of
Harima and Sea of Bingo hith consist i6 Lstern half of Setaunland
Sea were suffered by red tide in 1973 and 1974(data of 1975 is
not yet received) In 1974 we have experienced the red tide in
winter once we have not experienced
Monitoring of red tide by LANDSAT data
An MSS-4 imagery acquired on December 30 1975 was used for
the purpose of investigation In late December of 1975 and early
January of 1976several red tide consisted by Skeltonema were
reported by fishing boat in coastal area of Sea of Harima along
the northern coast But no report was accepted which tells the
occurrence of red tide in central area of Sea of Harima in these
periods In Figure 2 several patterns indicated by black arrows
were estimated as red tide area depend on the experience of
ANDAT-1investigation and airborn remote sensing The reason
why the red tide detected in centralarea of Sea of Harima by LANDSAT imagery was not reported by fishing boat was estimated
that almost fishing boat were not at sea for fishing as year end
and new year holidays Monitoring of red tide by LANDSAT lik
this case is supposed very effective in Seto Inland Sea in future
I
3973 uimejii
C H U G 0 K U Kob~e
ea of O - kay a a Earima Os k
1973
Kob
- 1 VKO U Himeji-
1 a moa Sea I Osa a
1979
Figure 1 Map ofeatr fof Set Inan Sea Shde
area means the boundary of red tide were sighted
through the year
2
ORIGINAL PACE IS Ok QUALITY
Figure 2 MSS-4 imagery of LAXDSAT-2 acquired over Seto Inland Sea December 30 1975
3
3 Monitoring of sedimentation
Along the southern coast of Hokkaido between Tomakomai and
Urakawa typical expanding pattern of sediment was detected in
MSS-4 imagery As indicated in authors previous report()
MSS-4 imagery is very effective to detect the dritribution of
sediment especially suspended sediment from the river
In Figure 3 expanding pattern from the mouth of Saru River
extended to southwest direction more than 15 Km long Saru River
is noted as polluted water with suspended sediment So the
density of suspended sediment is more concentrative compared with
surrounding area
According to the report issued by Hokkaido Prefecture Saru
River was named depend on its characteristic Namely the river
water contains so much suspended sediment on normal condition
the river was named as River which flows sand in Japanese
S River
iver effluent
Figure 3 MSS-4 Imagery detected the distribution
of sediment June 11 1975
Except the expanding pattern from the mouth of Saru River
the distribution of sediment along the coast was directed to
eastward caused by shore current in this area So stand on the
distribution pattern of sediment shore Current-would be
recognized easily in LANDSAT MSS data obtained at lowest condition
of sea level
4 REpPnUfv Y OF TIM oampGE B P0A
Along the northeast coast of Hokkaidobetween Monbetsu and Abashiri the distribution pattern of sediment was recognized as
the index of shore current in this areaas shown in Figure 4
At the outside of Lake Saroma a round-type pattern indicated by black arrow was detected and it was estimated as sediment
bulges out to the sea through sandy shoals which consist the
outside bank of Lake Saroma
Sediment bul
Monbetsu
Lake Saroma
Figure 4 Sediment bulge detected in MSS-4 imagery June 11 1975
Reference
(1) Hiroaki OchiaiMultidisciplinary Application of LANDSAT-2
Data to Marine Environment in Central Japan Progress
report of LANDSAT-2 investigation
5
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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Figure 5 2 Field informations(continued)
7
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
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AI
_q
2
Application of LANDSAT-2 Data to SIS Code 9026
Environmental Studies in Coastal Zone Investigation 28990 No
Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Red tide in Seto Inland Sea
Seto Inland Sea especially eastern half of it is noted as
one of the most polluted inland water area in Japan and we have
experienced red tide through the year in everywhere According
to the report announced by The Branch Office of Fishery Agency in
Kobe the total occurrence of red tide for atyearinKSeto Inland
Seais inclined to increasihg yearbyyear and it exceeded two
hundred times in recent year as shown in Table 1
Table 1 Total Occurrence of Red Tide in Seto Inland Sea
Year 1967 1968 1969 1970 1971 1972 1973 1974
Total No 48 61 67 79 136 164 210 298
As shown in Figure 1 almost area of Osaka Bay Sea of
Harima and Sea of Bingo hith consist i6 Lstern half of Setaunland
Sea were suffered by red tide in 1973 and 1974(data of 1975 is
not yet received) In 1974 we have experienced the red tide in
winter once we have not experienced
Monitoring of red tide by LANDSAT data
An MSS-4 imagery acquired on December 30 1975 was used for
the purpose of investigation In late December of 1975 and early
January of 1976several red tide consisted by Skeltonema were
reported by fishing boat in coastal area of Sea of Harima along
the northern coast But no report was accepted which tells the
occurrence of red tide in central area of Sea of Harima in these
periods In Figure 2 several patterns indicated by black arrows
were estimated as red tide area depend on the experience of
ANDAT-1investigation and airborn remote sensing The reason
why the red tide detected in centralarea of Sea of Harima by LANDSAT imagery was not reported by fishing boat was estimated
that almost fishing boat were not at sea for fishing as year end
and new year holidays Monitoring of red tide by LANDSAT lik
this case is supposed very effective in Seto Inland Sea in future
I
3973 uimejii
C H U G 0 K U Kob~e
ea of O - kay a a Earima Os k
1973
Kob
- 1 VKO U Himeji-
1 a moa Sea I Osa a
1979
Figure 1 Map ofeatr fof Set Inan Sea Shde
area means the boundary of red tide were sighted
through the year
2
ORIGINAL PACE IS Ok QUALITY
Figure 2 MSS-4 imagery of LAXDSAT-2 acquired over Seto Inland Sea December 30 1975
3
3 Monitoring of sedimentation
Along the southern coast of Hokkaido between Tomakomai and
Urakawa typical expanding pattern of sediment was detected in
MSS-4 imagery As indicated in authors previous report()
MSS-4 imagery is very effective to detect the dritribution of
sediment especially suspended sediment from the river
In Figure 3 expanding pattern from the mouth of Saru River
extended to southwest direction more than 15 Km long Saru River
is noted as polluted water with suspended sediment So the
density of suspended sediment is more concentrative compared with
surrounding area
According to the report issued by Hokkaido Prefecture Saru
River was named depend on its characteristic Namely the river
water contains so much suspended sediment on normal condition
the river was named as River which flows sand in Japanese
S River
iver effluent
Figure 3 MSS-4 Imagery detected the distribution
of sediment June 11 1975
Except the expanding pattern from the mouth of Saru River
the distribution of sediment along the coast was directed to
eastward caused by shore current in this area So stand on the
distribution pattern of sediment shore Current-would be
recognized easily in LANDSAT MSS data obtained at lowest condition
of sea level
4 REpPnUfv Y OF TIM oampGE B P0A
Along the northeast coast of Hokkaidobetween Monbetsu and Abashiri the distribution pattern of sediment was recognized as
the index of shore current in this areaas shown in Figure 4
At the outside of Lake Saroma a round-type pattern indicated by black arrow was detected and it was estimated as sediment
bulges out to the sea through sandy shoals which consist the
outside bank of Lake Saroma
Sediment bul
Monbetsu
Lake Saroma
Figure 4 Sediment bulge detected in MSS-4 imagery June 11 1975
Reference
(1) Hiroaki OchiaiMultidisciplinary Application of LANDSAT-2
Data to Marine Environment in Central Japan Progress
report of LANDSAT-2 investigation
5
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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ass ON
UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
Mils 14L 2L7
Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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5720 90AO 1044 120
4 I
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42
100 305720 00ampa 1044 1290
Figure 6-2 Htstgrams for CLUSTER(continued)
9
LASCLATtUY FOP APPL1CTIUAS F EP TE SfSNtSI JUNE IS157t PUROW U IVEkSIY 2 31 Ol p4
LARSYS VENS10PN3
-ISTOkAn S FOr CLUSTiamp CLASS 9 TOTAl kfitVl OF SPpLESVLS
ilSTOamptA4451
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2F I
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52 8060
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112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
3973 uimejii
C H U G 0 K U Kob~e
ea of O - kay a a Earima Os k
1973
Kob
- 1 VKO U Himeji-
1 a moa Sea I Osa a
1979
Figure 1 Map ofeatr fof Set Inan Sea Shde
area means the boundary of red tide were sighted
through the year
2
ORIGINAL PACE IS Ok QUALITY
Figure 2 MSS-4 imagery of LAXDSAT-2 acquired over Seto Inland Sea December 30 1975
3
3 Monitoring of sedimentation
Along the southern coast of Hokkaido between Tomakomai and
Urakawa typical expanding pattern of sediment was detected in
MSS-4 imagery As indicated in authors previous report()
MSS-4 imagery is very effective to detect the dritribution of
sediment especially suspended sediment from the river
In Figure 3 expanding pattern from the mouth of Saru River
extended to southwest direction more than 15 Km long Saru River
is noted as polluted water with suspended sediment So the
density of suspended sediment is more concentrative compared with
surrounding area
According to the report issued by Hokkaido Prefecture Saru
River was named depend on its characteristic Namely the river
water contains so much suspended sediment on normal condition
the river was named as River which flows sand in Japanese
S River
iver effluent
Figure 3 MSS-4 Imagery detected the distribution
of sediment June 11 1975
Except the expanding pattern from the mouth of Saru River
the distribution of sediment along the coast was directed to
eastward caused by shore current in this area So stand on the
distribution pattern of sediment shore Current-would be
recognized easily in LANDSAT MSS data obtained at lowest condition
of sea level
4 REpPnUfv Y OF TIM oampGE B P0A
Along the northeast coast of Hokkaidobetween Monbetsu and Abashiri the distribution pattern of sediment was recognized as
the index of shore current in this areaas shown in Figure 4
At the outside of Lake Saroma a round-type pattern indicated by black arrow was detected and it was estimated as sediment
bulges out to the sea through sandy shoals which consist the
outside bank of Lake Saroma
Sediment bul
Monbetsu
Lake Saroma
Figure 4 Sediment bulge detected in MSS-4 imagery June 11 1975
Reference
(1) Hiroaki OchiaiMultidisciplinary Application of LANDSAT-2
Data to Marine Environment in Central Japan Progress
report of LANDSAT-2 investigation
5
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
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CHC 4)5644 4012 3268 3073
5 6 7
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2014
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5082 4979 4203
710 348
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953 351 204 365
3471
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1187 3226 2128 1149 890
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1602 1281
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CLUSTER VARIANCES
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Figure 4 Clustering information
5
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ass ON
UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
Mils 14L 2L7
Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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2a 26 I
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4 I
15 4
42
100 305720 00ampa 1044 1290
Figure 6-2 Htstgrams for CLUSTER(continued)
9
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42 83 36 48
2 1 255 I 22
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3t T I 4e844 l
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2F I
2 - - 4
12 2 3
52 8060
Dur-i 130 r80 (RcniuEdRS
EAC ~ PEPAISNkTS a 0110
112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
ORIGINAL PACE IS Ok QUALITY
Figure 2 MSS-4 imagery of LAXDSAT-2 acquired over Seto Inland Sea December 30 1975
3
3 Monitoring of sedimentation
Along the southern coast of Hokkaido between Tomakomai and
Urakawa typical expanding pattern of sediment was detected in
MSS-4 imagery As indicated in authors previous report()
MSS-4 imagery is very effective to detect the dritribution of
sediment especially suspended sediment from the river
In Figure 3 expanding pattern from the mouth of Saru River
extended to southwest direction more than 15 Km long Saru River
is noted as polluted water with suspended sediment So the
density of suspended sediment is more concentrative compared with
surrounding area
According to the report issued by Hokkaido Prefecture Saru
River was named depend on its characteristic Namely the river
water contains so much suspended sediment on normal condition
the river was named as River which flows sand in Japanese
S River
iver effluent
Figure 3 MSS-4 Imagery detected the distribution
of sediment June 11 1975
Except the expanding pattern from the mouth of Saru River
the distribution of sediment along the coast was directed to
eastward caused by shore current in this area So stand on the
distribution pattern of sediment shore Current-would be
recognized easily in LANDSAT MSS data obtained at lowest condition
of sea level
4 REpPnUfv Y OF TIM oampGE B P0A
Along the northeast coast of Hokkaidobetween Monbetsu and Abashiri the distribution pattern of sediment was recognized as
the index of shore current in this areaas shown in Figure 4
At the outside of Lake Saroma a round-type pattern indicated by black arrow was detected and it was estimated as sediment
bulges out to the sea through sandy shoals which consist the
outside bank of Lake Saroma
Sediment bul
Monbetsu
Lake Saroma
Figure 4 Sediment bulge detected in MSS-4 imagery June 11 1975
Reference
(1) Hiroaki OchiaiMultidisciplinary Application of LANDSAT-2
Data to Marine Environment in Central Japan Progress
report of LANDSAT-2 investigation
5
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
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I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
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2014
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1602 1281
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CLUSTER VARIANCES
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Figure 4 Clustering information
5
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Figure 5 2 Field informations(continued)
7
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9
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ilSTOamptA4451
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42 1
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1000 3360 720 0n 104 4 1200
PI 2
EACH - RtPROSINTS pailil)
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I 8 I
42 83 36 48
2 1 255 I 22
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2F I
2 - - 4
12 2 3
52 8060
Dur-i 130 r80 (RcniuEdRS
EAC ~ PEPAISNkTS a 0110
112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
3 Monitoring of sedimentation
Along the southern coast of Hokkaido between Tomakomai and
Urakawa typical expanding pattern of sediment was detected in
MSS-4 imagery As indicated in authors previous report()
MSS-4 imagery is very effective to detect the dritribution of
sediment especially suspended sediment from the river
In Figure 3 expanding pattern from the mouth of Saru River
extended to southwest direction more than 15 Km long Saru River
is noted as polluted water with suspended sediment So the
density of suspended sediment is more concentrative compared with
surrounding area
According to the report issued by Hokkaido Prefecture Saru
River was named depend on its characteristic Namely the river
water contains so much suspended sediment on normal condition
the river was named as River which flows sand in Japanese
S River
iver effluent
Figure 3 MSS-4 Imagery detected the distribution
of sediment June 11 1975
Except the expanding pattern from the mouth of Saru River
the distribution of sediment along the coast was directed to
eastward caused by shore current in this area So stand on the
distribution pattern of sediment shore Current-would be
recognized easily in LANDSAT MSS data obtained at lowest condition
of sea level
4 REpPnUfv Y OF TIM oampGE B P0A
Along the northeast coast of Hokkaidobetween Monbetsu and Abashiri the distribution pattern of sediment was recognized as
the index of shore current in this areaas shown in Figure 4
At the outside of Lake Saroma a round-type pattern indicated by black arrow was detected and it was estimated as sediment
bulges out to the sea through sandy shoals which consist the
outside bank of Lake Saroma
Sediment bul
Monbetsu
Lake Saroma
Figure 4 Sediment bulge detected in MSS-4 imagery June 11 1975
Reference
(1) Hiroaki OchiaiMultidisciplinary Application of LANDSAT-2
Data to Marine Environment in Central Japan Progress
report of LANDSAT-2 investigation
5
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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ass ON
UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
Mils 14L 2L7
Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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5720 90AO 1044 120
4 I
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42
100 305720 00ampa 1044 1290
Figure 6-2 Htstgrams for CLUSTER(continued)
9
LASCLATtUY FOP APPL1CTIUAS F EP TE SfSNtSI JUNE IS157t PUROW U IVEkSIY 2 31 Ol p4
LARSYS VENS10PN3
-ISTOkAn S FOr CLUSTiamp CLASS 9 TOTAl kfitVl OF SPpLESVLS
ilSTOamptA4451
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2F I
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52 8060
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112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
Along the northeast coast of Hokkaidobetween Monbetsu and Abashiri the distribution pattern of sediment was recognized as
the index of shore current in this areaas shown in Figure 4
At the outside of Lake Saroma a round-type pattern indicated by black arrow was detected and it was estimated as sediment
bulges out to the sea through sandy shoals which consist the
outside bank of Lake Saroma
Sediment bul
Monbetsu
Lake Saroma
Figure 4 Sediment bulge detected in MSS-4 imagery June 11 1975
Reference
(1) Hiroaki OchiaiMultidisciplinary Application of LANDSAT-2
Data to Marine Environment in Central Japan Progress
report of LANDSAT-2 investigation
5
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
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4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
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2014
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Figure 4 Clustering information
5
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ass ON
UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
Mils 14L 2L7
Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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2a 26 I
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4 I
15 4
42
100 305720 00ampa 1044 1290
Figure 6-2 Htstgrams for CLUSTER(continued)
9
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42 83 36 48
2 1 255 I 22
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3t T I 4e844 l
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2F I
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12 2 3
52 8060
Dur-i 130 r80 (RcniuEdRS
EAC ~ PEPAISNkTS a 0110
112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
288020 RECEIVED BY
NASA STI FACILITY Mdei awallat under NASA swsOCmt DATE- S2 Inthe interest of early ant wide 41s D A NO seminition of Earth Resources SunY DOAF NO
PROCE DProgram intormation and wtthout liability NASA STI FACILITYfor any L-e Made th lreot
QESA-SS ] AI
Title of Investigation 28990 Investigation of Environmental Change Pattern in Japan C76 - 1 O 4 6-
Principal Investigator Dr Takakazu Maruyasu 761 Science University of Tokyo
Noda City Chiba-Ken 278 Japan
Co-Investigator Hiroaki Ochiai
Toba Merchant Marine College
Toba City Mlie-Ken Japan
Date of Submission jiine 30 1976
Quarterly Progress Report for Period
April -June 1976
0rial 0hatography my be cwctund frets EROS Data Center 10th and Dakota Avenue Sioux Falls SD 571 A
REFRDU BYl NATIONAL TECHNICAL INFORMAiON SVICE
SDEPARTMKT OFC SPRINWFIILDVA226
K
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
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CHC 4)5644 4012 3268 3073
5 6 7
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2014
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710 348
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953 351 204 365
3471
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1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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Figure 5 2 Field informations(continued)
7
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9
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10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
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1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
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2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
Digital Analysis of LANDSAT-2 MSS Dntn STS Codpe 902o in Costal Zone in Central Japan Investigation 28990
No Hiroaki Ochiai July 28 1976
Toba Merchant Marine College
Toba City Mie-Ken Japan
1 Introduction
For the purpose of attempt to classify the field informations
revealed by LANDSAT-2 the author tried digital analysis of multishy
spectral scanner data using LARSYS package Although LARSYS was
well known as developed for agriculture remote sensing in first
step depend on the ajustment of the software recently it was
clarified as very effective in various part of remote sensing As
shown in Figure 1 the coastal area in Kii Peninsula Was not
well classified by Photo-interpretation
2 MIS Tape
Before the digital analysis the CCT Tape(9 trucks 1600 BPI) delivered from NASA was reformatted to MIS(Multispectral Image
Storage) Tape which include several Runs data-(l) identification
record(2) data records(3) end-of-file record
3 Analysis flow and result
Analysis flow by un-supervised technique was showed in Figure 2 In first step of analysis the quality check of the data was
performed in Histogram Namely we cofldidentified the relative
radiancein each wavelength
In second step several training fields showed in Figure 3
were settled in Picture Print which shows the distribution of
resolution by Lines and Columns Line means scan lines and Column
means samples within a scan line of the data In this case the
Line interval and Column interval were reduced for data compression each two intervals Relative radiance scale of 0 to 255 were
displayed in Picture Print
I
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
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Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
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64 I
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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w WWAWWNW h W WWWWWWWWdWWWNWWWNNW 4 WWKNWWNUWWWWNWWWWOWWWWWWjVIWUWw9 Wwvvwwmwgw WWWWWWWOWWWWNWWKWVKWNWWWWWWWWWWONWWWWWW6kwWWRKVOWWWWWW44wwwwww wwww WWWWWWWWWWR WWkgkWWWUWRWWIWWVWWWWkWWFAAA-NVUW w KWWWWNWWWWWWWNKW-WW-VOWOWWWWWW W WWW WWWWWWVWWWOWWWWWWWWWWWWWW
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
In third step Clustered information were calculated on three
points and Cluster yrocessor Information were as follows-
ID Number I
Maximum Classes 12
Convergence 999
Minimum Field Size 4
Interval I
As shown in Figure 4 Cluster Points Means and Cluster
Variances were carried out statastically For example for Class
4 Cluster Points Means indicated as 4421 to channel 1 4846 to
channel 2 6919 to channel 3 and 3073 to channel 4 Compared
with Histograms for Cluster showed in Figure 6-1 Cluster Points
Means were identified satisfactorily Cluster Variances were also
well identified to each wavelength For Class 4 5158 to channel
1 8563 to channel 2 5902 to channel 3 and 1662 to channel 4
In training field showed in upper part of Figure 5-1 Number
of Points per Cluster were classified by Symbol and total Points
for each Class were calculated General total of Samples were
identified as 2074
In fourth step Separability Information were calculated in
Cluster as shown in Figure 7 Separability between Classes of
interest as a function of combinations of spectral bandswere
also very important for satistical analysis of multiapectral
scanner data The best evaluation of quotient in LARSYS was known
as 075
In fifth step Cluster Grouping were defined to nine classes
as shown in Figure 8 In this case Cluster 3 and 5 were grouped
to 3 Cluster 6 and 9 were grouped to 5 and Cluster 7 and 8 were
grouped to 6
In sixth step Classification by per field analysis were
carried out as shown in Figure 9 In these Classification Maps
we could obtained qualtative determination of the classification
Reference
(I4 LARS Annual Report-Vol 4(1970) p 7 - 40
2
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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CLUSTER 11 12
SYMBOL 0 IS
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Figure 5 2 Field informations(continued)
7
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
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1000 3360 720 0n 104 4 1200
PI 2
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2 1 255 I 22
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2F I
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52 8060
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112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
Kumano r Ybull city
Shionomisaki
MSS-5 imagery 4SS-7 imagery
Figure I Enlarged LANDSAT-2 imageries Sept 11 1976
3
Zape
Mltiapectral
Im ge Storage
HI S
PIC
CLI
Stistics Fie
Classified iFields
Test Fields
nSClassificatio
Rsults
LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
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Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
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2F I
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64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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w WWAWWNW h W WWWWWWWWdWWWNWWWNNW 4 WWKNWWNUWWWWNWWWWOWWWWWWjVIWUWw9 Wwvvwwmwgw WWWWWWWOWWWWNWWKWVKWNWWWWWWWWWWONWWWWWW6kwWWRKVOWWWWWW44wwwwww wwww WWWWWWWWWWR WWkgkWWWUWRWWIWWVWWWWkWWFAAA-NVUW w KWWWWNWWWWWWWNKW-WW-VOWOWWWWWW W WWW WWWWWWVWWWOWWWWWWWWWWWWWW
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
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LARSYS analysis flow(Un-SperisedFigure 2 classification)
4
FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
I 75C911CO 1 100 3 700 820 2 2 75CS11CO 27C 400 3 500 580 2 3 75091100 560 620 3 300 590 2
4 75CIICO 700 850 3 200 400 2
Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
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5 6 7
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1725 2556 1618
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5082 4979 4203
710 348
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953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
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Figure 5 2 Field informations(continued)
7
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Kii Peninsula near Shionomisaki
AI
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FIELCS TO eE CLUSTERED LISTED IN ORDER PACCESSED
RU FIELU FIRST LAST LINE FIkST LAST COLUMNNUMbER DESIG LINE LINE INI COLUMN COLUMN INT
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Figure 3 Training field
CLUSTERING INFORMATION
NUMBER OF CLUSTERS = 12 CLUSTERING UNIT SIZE = 12095 CLUSTERING INTERVAL =I CHANNEL NJMBER 1 SPECTRAL RANGE 050 TO 060 MICROMETERS CALIBRATION
CHANNEL NUMBER 2 SPECTRAL RANGE 060 TO 070 MICROMETERS CALIBRATION CHANNEL NUMBER 3 SPECTRAL RANGE 070 TO 080 MICROMETERS CALIBRATION
CHANNEL MJtMBER 4 SPECTRAL RANGE 080 TO 110 MICROMETERS CALIBRATION
CLUSTER POINTS MEANS
I 2 3 4
111 137
1316 230
CHI 1) CHI I Cht 31 113 51 12311 125457142 8312 9668 L847 1615 6019 4421 4846 6919
CHC 4)5644 4012 3268 3073
5 6 7
2075 868
2014
1725 2556 1618
1478 2713 1353
5082 4979 4203
710 348
2189 8 9 10 it 12
953 351 204 365
3471
1478 2955 2292 1502 1490
1187 3226 2128 1149 890
3265 3516 2387 1441 418
1602 1281
842 525 015
CLUSTER VARIANCES
CMI 1) CHI 21 CHI4p CIII 411 17029 4 21 1 3603 2 7760 11278 10088 16013 628 824 1723 758 4 5158 8563 5902 1662 5 289 524 64TS 315 6 1192 2C95 2392 813 7 305 547 703 4178 326 407 1229 5279 1479 2657 3207 2115 10 1411 2039 2494 1005 11 1017 670 1311 636 12 423 139 155 015
Figure 4 Clustering information
5
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ELUSIER 1 3 4 5 6 7 0 9 10
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ass ON
UveEamp OF POINTS PFA CLUSTER
2 1 4 5 6 1CLUSTER 1
116 100mints 78 68 650 304 Tar 262 532 176
CLUSTER 11 12
SYMBOL 0 IS
Mils 14L 2L7
Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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2a 26 I
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4 I
15 4
42
100 305720 00ampa 1044 1290
Figure 6-2 Htstgrams for CLUSTER(continued)
9
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LARSYS VENS10PN3
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42 83 36 48
2 1 255 I 22
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3t T I 4e844 l
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2F I
2 - - 4
12 2 3
52 8060
Dur-i 130 r80 (RcniuEdRS
EAC ~ PEPAISNkTS a 0110
112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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2 1 4 5 6 1CLUSTER 1
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CLUSTER 11 12
SYMBOL 0 IS
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Figure 5 2 Field informations(continued)
7
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 5 2 Field informations(continued)
7
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
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B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
---
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
AI
_q
LfGATOUy FO APL1C4TIONS OF fNdTt SRIISING J 191197 ptUvOt UIVMKSITy m
LASSYS VIEfStOIN 3
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EAC trftESEftTS 3 C M 1
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EACk NEPRESPtTS 9 PONT(5I
101 I 112 4D
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009 pound5080 1044 1280
LH-UEL 3 0- 0 090 mIcaMiEnas EA-fl t~fSNTS 10 PCIICTSJ
140130 11 8 6
120 4
soI4 80
40 4 A 30 4S
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4 I
15 4
42
100 305720 00ampa 1044 1290
Figure 6-2 Htstgrams for CLUSTER(continued)
9
LASCLATtUY FOP APPL1CTIUAS F EP TE SfSNtSI JUNE IS157t PUROW U IVEkSIY 2 31 Ol p4
LARSYS VENS10PN3
-ISTOkAn S FOr CLUSTiamp CLASS 9 TOTAl kfitVl OF SPpLESVLS
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42 1
In 2413)l= 24tS31Z Us 1
1000 3360 720 0n 104 4 1200
PI 2
EACH - RtPROSINTS pailil)
CHA -EL 60- 010 flCRtItfS
I 8 I
42 83 36 48
2 1 255 I 22
370 C 90 J1CCCOETEt(S
C~4 8 4p1PtE TS A P0IT(SI
3t T I 4e844 l
00305720 808 pound04iO4 1200
2F I
2 - - 4
12 2 3
52 8060
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EAC ~ PEPAISNkTS a 0110
112 ICA jl A 1
64 I
321 1 50 01 i
Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
---
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Kii Peninsula near Shionomisaki
AI
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Figure 6-2 Htstgrams for CLUSTER(continued)
9
LASCLATtUY FOP APPL1CTIUAS F EP TE SfSNtSI JUNE IS157t PUROW U IVEkSIY 2 31 Ol p4
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 6- 3 Histgrama for CLUSTMR (continued)
10
LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
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AI
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LABCRATCRY FOR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
SEPARABILITY INFORMATION
I J D([JI D() 00) D(I)+D(JI QUOT
1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 1O1 I1
66820 159051 119171 165628 154142 17214q179913 159220 176639192634
17S58 16106 15UEC 15737 15226 15204 14606 13442 1322413146
1934 9476 25706 6676
12951 686 7504 13457 112168058
3689L 25582 41566 22413 28184 22067 22110 26898 24440 21204
1811 6217 2867 1390 5469 7801 81 7 59 9 7228 9085
1 12 2 3 2 4 2 5 z 6 2
B9
2 10 2 11 2 12 3 4 3 5 3 6 3 7 3 a 3 93 10 3 11
201606 93144 52778 99386 87831 105896 11386794161 111728 127650 137325 42326 11064 19070 21412 32680 3748244208 53681
12515 32828 38893 37093 38897 39109 38498 31559 33211 34411 33159 9108 L1872 8845 11865 11873 967411081 11734
3049 9578
30485 6922 14405 7018 7603 13724 12141 7747 2916
26963 7271
1191l 7603 10090 1725312 909 9721
15564 42406 69379 44015 53302 46127 46100 45284 45352 42157 36074 36071 L9143 20756 19468 21963 2692723989 21455
12953 2196 0761 2258 1648 2296 2470 2079 2464 3028 3807 1173 0578 0919 L100 1488 13926483 2502
3 12 4 5 4 6 4 7 4 8
65279 47031 35099 53122 61292
1123 29812 28461 30215 29306
1765 6821 14265 6995 7836
13288 36632 42726 37210 37142
4912 1284 0821 1428 1650
4 q4 10 4 11 4 12 5 6 5 7 5 a 5 9 5 1o 5 1 5 12 6 7 6 8 6 9 6 11 6 11 6 12
44216 61188 76603 87099 L5349 10348 21617 30121 33906 42641 54237 18321 26427 19249 30659 4403555414
23384 25163 26213 25148 6599 7270 7259 6621 6908 7221 7163 14344 14315 11719 12666 1386 13482
14012 12C09 8091 2523 12858 7596
10091 17304 13254 9762 1768 69527916 16902 1279 8502 2119
37396 37172 34303 27671 19457 14866 17351 23925 20162 16983 8931
21295 22231 28621 2543 22307 15600
1182 1646 2233 3148 0789 0696 1246 1259 1682 2511 6073 0860 1189 0673 1205 1974 3552
7 8 79 7 10 7 11 7 12 8 9 8 10 a 11 a 12 9 10 9 it 9 12
11274 25 03 24838 32325 43915 2553 17025 21185 32734 17664 33635 43385
7671 7044 7359 553 7351 6029 66C4 9510 9171 L3382 13474 13132
10083 16480 13814
9 8 41770
14771 15090 9871 1791 12681 7076 2840
17754 23523 21173 17377 9122 20800 21694 19387 10962 26C68 20550 15972
0635 1093 1173 1860 4814 1228 0785 1093 2986 0678 1637 2Tb
tO 11 10 12 11 12
16049 2595 11729
12408 12774 8212
7484 2680 1990
19893 15454 10202
C807 1680 1150
AVERAGE QUOTIENT 2655
Figure 7 Separability information
calculated in CLUSTER
11
LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
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Figure a Grouping of CLUSTER
12
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Figure 9-2 Classification map of southern part of
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AI
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LAdORATOkY FCR APPLICATIONS OF REMOTE SENSING PURDUE UNIVERSITY
RESULTS OF CLUSTER GROUPING
ThRESHOLD = 075
GROUP CLUSTERS NO PTS
L Lit
2 2 L37
3 3 1316 5 2075
4 4 230
6 868 9 351
6 7 2014 8 953
7 LO 204
11 365
12 347L
Figure a Grouping of CLUSTER
12
---
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Figure 9-2 Classification map of southern part of
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Figure 9-1 Classification map of nort iern part of Kii Peninsula near Kumano City
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Figure 9-2 Classification map of southern part of
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Figure 9-2 Classification map of southern part of
Kii Peninsula near Shionomisaki
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