reviewTop 1% cited
A review of target decomposition theorems in radar polarimetry
IEEE Transactions on Geoscience and Remote Sensing · 1996 · Vol. 34(2) · pp. 498–518
S.R. Cloude✉(Centre National de la Recherche Scientifique)Éric Pottier(Centre National de la Recherche Scientifique)
Abstract
In this paper, we provide a review of the different approaches used for target decomposition theory in radar polarimetry. We classify three main types of theorem; those based on the Mueller matrix and Stokes vector, those using an eigenvector analysis of the covariance or coherency matrix, and those employing coherent decomposition of the scattering matrix. We unify the formulation of these different approaches using transformation theory and an eigenvector analysis. We show how special forms of these decompositions apply for the important case of backscatter from terrain with generic symmetries.
Synthetic Aperture Radar (SAR) Applications and TechniquesOptical Polarization and EllipsometryRemote-Sensing Image ClassificationPolarimetryMatrix decompositionEigenvalues and eigenvectorsRadarEigendecomposition of a matrixCovariance matrixMatrix (chemical analysis)DecompositionMueller calculusRadar imaging
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References
New decomposition of the radar target scattering matrix
Electronics Letters · 1990 · 377 citations
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