Publication | Closed Access
A Four-Component Decomposition of POLSAR Images Based on the Coherency Matrix
284
Citations
3
References
2006
Year
Four-component DecompositionEngineeringMulti-image FusionCoherency MatrixImage AnalysisPattern RecognitionPolsar ImagesImaging RadarMultilinear Subspace LearningComputational ImagingRadar Signal ProcessingComputational ElectromagneticsComputational GeometryGeometric ModelingImage FormationSynthetic Aperture RadarMultidimensional Signal ProcessingRadar ApplicationComputer VisionRadarNatural SciencesRadar ScatteringRemote SensingRadar Image ProcessingPolarimetric Sar DataFour-component Decomposition Scheme
A four-component decomposition scheme of the coherency matrix is presented here for the analysis of polarimetric synthetic aperture radar (SAR) images. The coherency matrix is used to deal with nonreflection symmetric scattering case, which is an extension of covariance matrix approach. The same decomposition results have been obtained. The advantage of this approach is explicit expressions of four scattering powers in terms of scattering matrix elements, which serve the interpretation of polarimetric SAR data quantitatively
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