• DocumentCode
    3309367
  • Title

    Estimation of the degree of polarization in compact polarimetry

  • Author

    Shirvany, Reza ; Chabert, Marie ; Tourneret, Jean-Yves

  • Author_Institution
    IRIT/ENSEEIHT/TeSA, Univ. of Toulouse, Toulouse, France
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    722
  • Lastpage
    725
  • Abstract
    The degree of polarization (DoP) has long been recognized as one of the most important parameters characterizing partially polarized electromagnetic waves. This parameter can be effectively used to describe the information content of polarimetric images collected by synthetic aperture radar (SAR) systems. Estimation of DoP is standardly performed using four measurements. In SAR compact polarimetry (CP), however, only two measurements are available. In this paper, we develop maximum likelihood estimators of the DoP, in SAR CP modes, based on only two intensity images. We evaluate and compare the performance of these estimators for different CP modes on RADARSAT-2 polarimetric data, over various terrain types such as urban, vegetation, and ocean.
  • Keywords
    electromagnetic wave polarisation; maximum likelihood estimation; radar imaging; radar polarimetry; synthetic aperture radar; DoP; SAR; compact polarimetry; degree of polarization; electromagnetic wave polarization; maximum likelihood estimation; polarimetric images; synthetic aperture radar; Maximum likelihood estimation; Oceans; Polarimetry; Polarization; Sea measurements; Polarization degree; compact polarimetry; maximum likelihood estimation; multivariate gamma distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650060
  • Filename
    5650060