Title :
A review of target decomposition theorems in radar polarimetry
Author :
Cloude, Sham Robert ; Pottier, Eric
Author_Institution :
SEI EP, CNRS, Nantes, France
fDate :
3/1/1996 12:00:00 AM
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
Keywords :
S-matrix theory; backscatter; covariance matrices; eigenvalues and eigenfunctions; geophysical signal processing; matrix decomposition; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; reviews; Mueller matrix; Stokes vector; backscatter; coherency matrix; coherent decomposition; covariance matrix; eigenvector analysis; radar polarimetry; scattering matrix; target decomposition theorems; terrain; transformation theory; Clouds; Covariance matrix; Light scattering; Matrix decomposition; Particle scattering; Radar polarimetry; Radar remote sensing; Radar scattering; Rayleigh scattering; Speckle;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on