• DocumentCode
    593023
  • Title

    A Polarimetric-Scattering-Similarity-Based Adaptive Filtering Method

  • Author

    Chen Zhi-Peng ; Xue Hui-feng

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2012
  • fDate
    8-10 Dec. 2012
  • Firstpage
    1060
  • Lastpage
    1064
  • Abstract
    In order to overcome the insufficiency of traditional polarimetric filtering algorithms on polarimetric scattering characteristic preservation, the polarimetric scattering similarity (PSS) is explored and used in filtering the polarimetric SAR imagery. In the letter, an improvement of Lee filter is designed and measured. To preserve the polarimetric scattering characteristics of the different targets in the imagery, PSS value is referred as a standard to extract the homogenous areas to filter the central pixel. Meanwhile, an adaptive slipping window is designed to find the homogenous areas in the neighborhood of the central pixel. With this method, the polarimetric scattering characteristic can be well kept during the polarimetric filtering process.
  • Keywords
    adaptive filters; radar imaging; radar polarimetry; synthetic aperture radar; Lee filter improvement; adaptive filtering method; adaptive slipping window; central pixel; polarimetric SAR imagery; polarimetric filtering algorithm; polarimetric scattering characteristic preservation; polarimetric scattering similarity; Entropy; Information filters; Proposals; Scattering; Speckle; adaptive window; polarimetric scattering similarity; speckle filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-5034-1
  • Type

    conf

  • DOI
    10.1109/IMCCC.2012.250
  • Filename
    6429086