Post on 16-Dec-2015
New modules of the software New modules of the software
package “PHOTOMOD Radar”package “PHOTOMOD Radar”
September 2010, Gaeta, Italy
Xth International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies
Roman I. Shuvalov
PHOTOMOD Radar.PHOTOMOD Radar. What’s new?
Images Coherent Coregistration ToolImages Coherent Coregistration Tool1
2 Image Quality Estimation ToolsImage Quality Estimation Tools
TargetResponseAnalysis
TargetResponseAnalysis
RadiometricErrors
Analysis
RadiometricErrors
Analysis
GeometricErrors
Analysis
GeometricErrors
Analysis
ImageStatisticsAnalysis
ImageStatisticsAnalysis
2.1 2.2 2.3 2.4
Coherent coregistration & Joint processing
Images Coherent Coregistration Tool
Images loading
Coregistration
Joint thematic processing
PHOTOMOD RadarImages Coherent Coregistration Tool
“Images Coherent Coregistration Tool” has an embedded classificator and tools for coregistered images joint visualization.
Pixels classification
Coherence evolution analysis
Differential interferometry
Others…
The joint processing may be:
Permanent scatterers interferometry
Multilooking
Images Coherent Coregistration Tool
Interface of the software“Images Coherent Coregistration”
The tool “Images Coherent Coregistration” allows to coregistrate radar images automatically with subpixel accuracy.
Images Coherent Coregistration Tool
1) spatial coregistration of the set of SAR images,2) joint visualization,3) pixel statistics estimation,4) pixel classification.
“Images Coherent Coregistration Tool” is intended for the joint processing of the set of radar images:
The input data are:
- interferometric set of SAR complex images.
Images Coherent Coregistration Tool
The output data are:
- interferometric set of coregistered SAR complex images,
- amplitude image with increased radiometric resolution,
- mean coherence image that characterizes changes of the underlying surface,
- amplitude stability image that characterizes the stability of the backscattered signal power,
- result of pixels classification.
Images Coherent Coregistration Tool
Characteristics
time
Input set of images
Classes
Images loading and sorting
Coherent coregistration
Overlapping region calculation
Pixel statistics estimation
Pixel classification
Sequence of processing steps
Images Coherent Coregistration Tool
time
Tab “Images” is intended for input data loading and sorting.
Images Coherent Coregistration Tool
Coregistration settings dialog
Tab “Coregistering” is intended for input images coregistration.
There are two coregistration methods: manual and automatic.
Images Coherent Coregistration Tool
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Mean
amplitude:
Amplitude stability:
Mean coherence:
Tab “Multilooking” is intended for pixel numerical characteristics estimation.
Amplitude stability
Mean amplitude
Images Coherent Coregistration Tool
Mean coherence
Pseudocolor representation of the estimated pixel characteristics:Amplitude stability Red channel,Mean amplitude Green channel,Mean coherence Blue channel.
Images Coherent Coregistration Tool
Images Coherent Coregistration Tool
Pseudocolor representation of the estimated pixel characteristics: Amplitude stability Red channel, Mean amplitude Green channel, Mean coherence Blue channel.
Images Coherent Coregistration Tool
Pseudocolor representation of the estimated pixel characteristics: Amplitude stability Red channel, Mean amplitude Green channel, Mean coherence Blue channel.
Name Description Color Interpretation
Class 1 Low amplitude,high amplitude stability, low coherence.
Radar shadow.
Class 2 Low amplitude,high amplitude stability, high coherence.
Pavement.
Class 3 High amplitude,temperate amplitude stability, temperate coherence.
Buildings and metallic constructions. Front slopes of the hills and opposite slopes of ravines.
Class 4 High amplitude,high amplitude stability, high coherence.
Strong permanent scatterers.
Class 5 Low amplitude,low amplitude stability,temperate coherence.
Water surface.
Class 6 Low amplitude (less than for class 7),temperate amplitude stability,temperate coherence (higher than for class 7).
Vegetation.
Class 7 Low amplitude (higher than for class 6),temperate amplitude stability,temperate coherence (less than for class 6).
Water surface surroundings.
Pseudocolors interpretation
Images Coherent Coregistration Tool
Radar shadow
Front wall of the building
Pavement
Strong permanent scatterer
Images Coherent Coregistration Tool
Examples of objects
Images Coherent Coregistration Tool
Patch of water surface
Water surroundings
Bridge over the river.
Vegetation
Examples of objects
Images Coherent Coregistration Tool
Tab “Pseudocolor” allows to create pseudocolor composite image on the base of any three images of the input set.
Pseudocolor representation of three amplitude images.
Images Coherent Coregistration Tool
Images Coherent Coregistration Tool
Pseudocolor representation of three amplitude images.
Images Coherent Coregistration Tool
Pseudocolor representation of three amplitude images.
Images Coherent Coregistration Tool
Tab “Differences” allows to generate difference-images (or ratio-images) from the input set of images.
Pseudocolor representation of three amplitude difference-images.
Images Coherent Coregistration Tool
Images Coherent Coregistration Tool
Pseudocolor representation of three amplitude difference-images.
Images Coherent Coregistration Tool
Tab “Classes” is intended for the image pixels classification.
Two types of classification are available:amplitudes basedand characteristics based.
Result of classification acquired using Bayes method on the base of Gauss model. Four classes dominate: blue (water surface, radar shadow), green (vegetation), brown (roads), and yellow (buildings).
Images Coherent Coregistration Tool
Images Coherent Coregistration Tool
Applications
Land covers classification
Change detection (coherent & incoherent)
Image enhancement
Ground subsidence monitoring
Image Quality Estimation ToolsImage Quality Estimation Tools
Software tool for pulse response analysisSoftware tool for pulse response analysis
Interface of the software tool “Pulse Response Analysis”.
Estimated parameters are:
1) Local maximum location,2) Peak power (dB),3) Peak width (meters),4) First zero location,5) Second zero location,6) First sidelobe location,7) Pulse response mainlobe energy (dB),8) First sidelobe energy,9) Ratio of sidelobe energy to mainlobe energy,
and some others…
The tool “Pulse Response Analysis” allows getting target response profile on the image.
Software tool for pulse response analysisSoftware tool for pulse response analysis
- mainlobe region
- sidelobe region
- noise region
Pulse response function schematic view
Pulse response on the SAR image Interpolated pulse response function
3D view of the interpolated pulse response function
Analysis option could be adjusted
RADARSAT-1. Product type – SGX. Beam – F2.
Interpolated profiles along range and azimuth
Software tool for pulse response analysisSoftware tool for pulse response analysis
Report generated by the software tool. It contains results of SAR impulse response function analysis.
Software tool for pulse response analysisSoftware tool for pulse response analysis
Software tool for geometric analysisSoftware tool for geometric analysis
Interface of the software tool “Image Geometry Analysis”.
Estimated parameters are:
1) absolute location accuracy,2) absolute geometric distortions,3) relative geometric distortions
The set of ground control points is required.
The report in textual file is generated.
Geometric errors may be viewed and measured in the “Viewer”.
Software tool for geometric analysisSoftware tool for geometric analysis
Software tool for radiometric analysisSoftware tool for radiometric analysis
Interface of the software tool “Image Radiometry Analysis”.
Estimated parameters are:
1) relative radiometric error,2) radiometric linearity,3) range ambiguity level,4) azimuth ambiguity level,5) equivalent number of independent looks,6) mean level of the additive noise.
The report in textual file is generated.
Software tool for radiometric analysisSoftware tool for radiometric analysis
Set of corner reflectors for radiometric
linearity estimation
Rectangular frame for equivalent number of
independent looks estimating
Rectangular frames for relative radiometric error
estimating
Input image
Estimating of additive noise mean level
The dialog of the radiometric analysis settings
Software tool for radiometric analysisSoftware tool for radiometric analysis
Software tool for radiometric analysisSoftware tool for radiometric analysis
Azimuth ambiguity level estimating
Object which gives strong
backscattered signal
Azimuth ambiguity zone
The position of the ambiguity zone is calculated automatically.
Software tool for radiometric analysisSoftware tool for radiometric analysis
Range ambiguity zoneObject which gives strong
backscattered signal
Input image for the range ambiguity level estimation. On the sea surface in the left part of the image one can see range ambiguity spots. The strong backscattered signal from the mountain ridges in the right part of the image is laid over the weak signal from the sea surface.
Range ambiguity level estimating
Rectangular frames for range ambiguity level estimation.
Dialog of the estimation settingsThe position of the ambiguity zone is calculated automatically.
Software tool for image statistics analysisSoftware tool for image statistics analysis
Estimated parameters are:
1) maximum value on the image,2) percent of pixels with maximum value,3) minimum value on the image,4) percent of pixels with minimum value,5) image dynamic range,6) peak histogram value,7) mean value on the image,8) standard deviation on the image.
Interface of the software tool “Image Statistics Analysis”.
The tool “Image Statistics Analysis” allows to draw histogram of the image and to estimate basic numeric characteristics of the image.
The report in textual file is generated.
Image Quality Estimation ToolsImage Quality Estimation Tools
Possible applications
SAR images quality control
SAR image parameters estimation
SAR image understanding
PHOTOMOD RadarImage Quality Estimation Tools
SAR image generation
Image quality control
Image thematic processing
Thank you for attention !