• DocumentCode
    411293
  • Title

    Improvement research on texture-detection in full-polarization SAR image filter

  • Author

    Xiuqing, Liu ; Zhen, Yang ; Ruliang, Yang

  • Author_Institution
    Inst. of Electron., Chinese Acad. of Sci., Beijing, China
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    3973
  • Abstract
    The Polarimetric Whitening Filter (PWF) method for speckle reduction in polarimetric synthetic aperture radar (SAR) is stated with some traditional covariance matrix parameter estimate methods. Aimed at their defects in parameter estimation, an enhanced auto-adaptive edge-detection method for parameter estimating is presented. Because of the lack of point target and line detection in the above-mentioned methods, a new parameter estimation method is then introduced. Finally, results of the above-mentioned methods applied in PWF are submitted. Detail analyses and comparisons are also given. It is proved that the new parameter estimation method is the most robust.
  • Keywords
    filtering theory; geophysical signal processing; image texture; radar imaging; radar polarimetry; synthetic aperture radar; autoadaptive edge-detection method; covariance matrix parameter estimate method; full-polarization SAR image filter; polarimetric synthetic aperture radar; polarimetric whitening filter; texture-detection; Covariance matrix; Filters; Image edge detection; Parameter estimation; Polarimetric synthetic aperture radar; Radar detection; Robustness; Speckle; State estimation; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295332
  • Filename
    1295332