• DocumentCode
    812574
  • Title

    Polarimetric discriminators for SAR images

  • Author

    Touzi, Ridha ; Goze, Stéphane ; Le Toan, Thuy ; Lopes, Armand ; Mougin, Eric

  • Author_Institution
    Centre d´´Etude Spatiale des Rayonnements, Univ. Paul Sabatier, Toulouse, France
  • Volume
    30
  • Issue
    5
  • fYear
    1992
  • fDate
    9/1/1992 12:00:00 AM
  • Firstpage
    973
  • Lastpage
    980
  • Abstract
    A method is developed for optimizing the degree of polarization of a partially polarized wave reflected by a nonstationary scattering object. The method permits, for a scattered wave and a given target characterized by its Mueller matrix, analytic computation of the maximum and minimum values of the degree of polarization, and the corresponding transmitted polarizations. A procedure for the optimization of the scattered wave intensity is also proposed. The degree of polarization and the total scattered intensity extrema are then analyzed experimentally on JPL data. It is shown that several entities such as the received intensity extrema, the coefficient of variation, the fractional polarization and the span, which are currently used for target discrimination, can be deduced from combinations of the maximum and minimum values of the degree of polarization and the scattered wave intensity. Finally, a classification of the San Francisco image, based on these indices, is conducted for a better understanding of the specific physical meaning of each index
  • Keywords
    electromagnetic wave polarisation; radar theory; remote sensing by radar; synthetic aperture radar; Mueller matrix; SAR images; San Francisco image; United States; degree of polarization; fractional polarization; nonstationary scattering object; partially polarized wave; polarimetric discriminators; received intensity extrema; remote sensing; scattered wave; synthetic aperture radar; target discrimination; transmitted polarizations; wave intensity; Data analysis; Optimization methods; Polarization; Radar applications; Radar imaging; Radar polarimetry; Radar remote sensing; Radar scattering; Remote sensing; Surface waves;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.175332
  • Filename
    175332