• DocumentCode
    3062037
  • Title

    Modified polarimetric whitening filter for polarimetric SAR data

  • Author

    Wentao An ; Mingsen Lin ; Chunhua Xie ; Guangyi Zhou ; Xinzhe Yuan

  • Author_Institution
    Nat. Satellite Ocean Applic. Service, Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2481
  • Lastpage
    2484
  • Abstract
    To preserve the power information in the output of polarimetric whitening filter (PWF), a modified PWF is proposed for polarimetric synthetic aperture radar (PolSAR) imagery. Besides minimizing the standard deviation to mean ratio, the modified PWF also requires its output closest to the original polarimetric vector in a minimum mean-square error sense. This principle is consistent with that of the minimum mean-square error covariance shaping. A real PolSAR image derived by SIR-C is applied for the illustration. The experimental results demonstrate that the speckle reduction performance of PWF is enhanced by the proposed modification and the power information is well preserved in the output of the modified PWF.
  • Keywords
    geophysical image processing; radar imaging; radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; PWF speckle reduction performance; PoISAR imagery; minimum mean-square error covariance shaping; minimum mean-square error sense; modified polarimetric whitening filter; original polarimetric vector; polarimetric SAR data; power information; synthetic aperture radar; Abstracts; Artificial intelligence; Radiometry; Speckle; Polarimetric whitening filter; radar polarimetry; synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723324
  • Filename
    6723324