• DocumentCode
    2403982
  • Title

    Statistical distribution for scattering mechanism of targets based on eigenvector decomposition in polarimetric radars

  • Author

    Zakeri, B. ; Ghorbani, A. ; Galletti, Michele

  • Author_Institution
    Islamic Azad Univ., Garmsar
  • fYear
    2007
  • fDate
    10-12 Oct. 2007
  • Firstpage
    433
  • Lastpage
    435
  • Abstract
    In this paper a decomposition scheme for analysis and classification of statistical radar targets is presented. For this purpose eigenvector target decomposition (ETD) analysis method is used for calculating coherency eigenvalues. Also a simulation scheme is developed for calculating Entropy, Scattering mechanism for discrimination of several surface scattering objects within distributed targets. As results, radar image data set have been used for compare.
  • Keywords
    eigenvalues and eigenfunctions; radar imaging; radar polarimetry; statistical distributions; distributed targets; eigenvector target decomposition analysis; polarimetric radars; radar image data set; scattering mechanism; statistical distribution; statistical radar targets; surface scattering objects; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Matrix decomposition; Particle scattering; Radar imaging; Radar polarimetry; Radar remote sensing; Radar scattering; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2007. EuRAD 2007. European
  • Conference_Location
    Munich
  • Print_ISBN
    978-2-87487-004-0
  • Type

    conf

  • DOI
    10.1109/EURAD.2007.4405030
  • Filename
    4405030