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description
A NEW ROAD EXTRACTION A NEW ROAD EXTRACTION APPROACH APPROACH FOR LOW-FREQUENCY SAR FOR LOW-FREQUENCY SAR IMAGES BASED ON ROAD APPURTENANCE IMAGES BASED ON ROAD APPURTENANCE DETECTIONDETECTION
Qian Song, Yu-min Wang, Yun-fei Shi, Tian Jin
National University Of Defense TechnologyChangsha, Chinasongqian@nudt.edu.cn
Road ExtractionRoad Extraction
Feature Fusion to Improve Road Network ExtractionFeature Fusion to Improve Road Network Extractionin High-Resolution SAR Imagesin High-Resolution SAR Images
Gianni Lisini and Paolo Gamba of University of Pavia, etc.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 2, APRIL 2006
from
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Object and CategoryObject and Category
• Conventional Road Extraction Approach is Conventional Road Extraction Approach is targeted attargeted at• Optical ImagesOptical Images• Hyperspectral ImagesHyperspectral Images• High-frequency SAR ImagesHigh-frequency SAR Images
• … … and can be categorized intoand can be categorized into• Line detectionLine detection• Shape inferenceShape inference
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Line Detection ApproachLine Detection Approach
• Roads can be approxi-Roads can be approxi-mated as linesmated as lines ,, and can and can be extracted by line/ridge be extracted by line/ridge detection algorithms.detection algorithms.
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Shape Inference ApproachShape Inference Approach
• Roads occupy regular shapesRoads occupy regular shapes ,, and can be extracted and can be extracted by edge detection and shape recognition algorithms.by edge detection and shape recognition algorithms.
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
An Essential PreconditionAn Essential Precondition
• The characteristics of roads and background are The characteristics of roads and background are distinguishabledistinguishable enough. enough.
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
The Low-frequency SAR CaseThe Low-frequency SAR Case
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Data from a flight experiment of an airborne UWB SAR system develop-ed by NUDT, in Summer 2010
The Low-frequency SAR CaseThe Low-frequency SAR Case
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
The histograms of roads and background (with strong clutters suppressed)
The Low-frequency SAR CaseThe Low-frequency SAR Caseclutterclutter
attenuationattenuation
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
The Low-frequency SAR CaseThe Low-frequency SAR Case
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Alternative WayAlternative Way
Road AppurtenancesRoad Appurtenances
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Features Of AppurtenancesFeatures Of Appurtenances• Consistent Scattering CharacteristicsConsistent Scattering Characteristics
• of the same materialof the same material• of the same structureof the same structure• often in the same orientationoften in the same orientation
• Regular Geometrical LayoutsRegular Geometrical Layouts• at nearly fixed intervalsat nearly fixed intervals• with predictable patternswith predictable patterns
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Algorithm Algorithm FlowFlow
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
The Original ImageThe Original Image
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
ROI ExtractionROI Extraction
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
After Enhanced Lee FilteringAfter Enhanced Lee Filtering
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
After Morphologic FilteringAfter Morphologic Filtering
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
After ClusteringAfter Clustering
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
ROIs ROIs oof targets and cluttersf targets and clutters
• Features Chosen:Features Chosen:• AreaArea• compactnesscompactness• EccentricityEccentricity• Second order momentSecond order moment• ConvexityConvexity
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
ROI Discrimi-ROI Discrimi-nationnation
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
HS-SVMHS-SVM
• An effective One-class classifierAn effective One-class classifier
a
R
i
i
ix
ix
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
T. Jin, Z. Zhou, “Ultrawideband synthetic aperture radar landmine detection”, IEEE Trans. on GRS, pp. 3561- 3573, 2007.
After ClassificationAfter Classification
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
ROI Discrimi-ROI Discrimi-nationnation
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Geometrical FeaturesGeometrical Features
• ParallelismParallelism• Constant width and IntervalsConstant width and Intervals• The heading angle changing slowly and continuouslyThe heading angle changing slowly and continuously• Predictable Junction patternsPredictable Junction patterns
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
After Geometrical DiscriminationAfter Geometrical Discrimination
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
RoadRoadExtractionExtraction
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Final ResultFinal Result
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
Conclusions and Future worksConclusions and Future works
A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detectionA New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection ,, Qian Song, etc.
• ConclusionConclusion• Our approach of road extraction based on appurtenance Our approach of road extraction based on appurtenance
detection shows its effectiveness, when:detection shows its effectiveness, when:• the roads are foliage coveredthe roads are foliage covered• there are some types of appurtenancesthere are some types of appurtenances• Low-frequency SAR is adopted for its penetrating capabilityLow-frequency SAR is adopted for its penetrating capability
• Reasonable selection and exploitation of Reasonable selection and exploitation of sscattering and cattering and geometrical features are key to this approachgeometrical features are key to this approach
• Future worksFuture works• A integration frameworks of conventional and A integration frameworks of conventional and
appurtenance-detection based approachappurtenance-detection based approach• More efficient algorithmsMore efficient algorithms