• DocumentCode
    21813
  • Title

    On the Reconstruction of Quad-Pol SAR Data From Compact Polarimetry Data For Ocean Target Detection

  • Author

    Collins, Michael J. ; Denbina, Michael ; Atteia, Ghada

  • Author_Institution
    Dept. of Geomatics Eng., Univ. of Calgary, Calgary, AB, Canada
  • Volume
    51
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    591
  • Lastpage
    600
  • Abstract
    Circular-transmit/linear-receive compact polarimetry synthetic aperture radar systems combine coherent dual polarization with wide-swath imaging. The polarization information in these data may be represented as a Stokes vector, or one can reconstruct several quadpolarized covariance elements. Two reconstruction algorithms have been published in the literature: one by Souyris and a refined algorithm by Nord We investigated the application of these two algorithms for reconstructing ocean clutter for the purpose of detecting targets. We tested the assumptions underlying these algorithms and found that they were not valid for ocean scenes. We present a simple empirical reconstruction model whose reconstruction and target detection performance is superior to the two published algorithms.
  • Keywords
    geophysical image processing; image reconstruction; oceanographic techniques; radar polarimetry; synthetic aperture radar; Quad-Pol SAR data reconstruction; Stokes vector; circular-transmit compact polarimetry SAR system; coherent dual polarization; compact polarimetry data; linear-receive compact polarimetry SAR system; ocean clutter reconstruction; ocean target detection; quadpolarized covariance elements; reconstruction algorithms; reconstruction model; reconstruction performance; target detection performance; wide-swath imaging; Backscatter; Covariance matrix; Image reconstruction; Oceans; Scattering; Synthetic aperture radar; Vectors; Circular polarization; compact polarimetry (CP); synthetic aperture radar (SAR); target detection;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2199760
  • Filename
    6227345