• DocumentCode
    757615
  • Title

    A review of target decomposition theorems in radar polarimetry

  • Author

    Cloude, Sham Robert ; Pottier, Eric

  • Author_Institution
    SEI EP, CNRS, Nantes, France
  • Volume
    34
  • Issue
    2
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    498
  • Lastpage
    518
  • 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;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.485127
  • Filename
    485127