• DocumentCode
    2799693
  • Title

    An improved method of speckle filtering in SAR image based on structure detection

  • Author

    Cheng-li, Jia ; Gui, Gao ; Gang-yao, Kuang ; Wen-xian, Yu

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defence Technol., Changsha, China
  • Volume
    2
  • fYear
    2003
  • fDate
    8-13 Oct. 2003
  • Firstpage
    852
  • Abstract
    This paper presents an improved method of speckle filtering in SAR image based on structure detection to solve some problems of the Lopes´ structure detection and statistical adaptive speckle filtering. The method uses the probability iterative to segment SAR image and detect the edges, then combines the strong scatterer detection result to label the SAR image as structure area and non-structure area. In non-structure area, the Lee filter is used, and in the structure area, the intensity of the image is preserved. Experimental results with RADARSAT images verify the practicability and the advantage of the improved method.
  • Keywords
    adaptive filters; edge detection; filtering theory; image segmentation; iterative methods; radar imaging; speckle; statistical analysis; synthetic aperture radar; Lee filter; Lope structure detection; SAR image segmentation; edge detection; image intensity; iterative method; probability method; scatterer detection; statistical adaptive speckle filtering; Adaptive filters; Detectors; Educational institutions; Filtering; Frequency; Image edge detection; Radar detection; Radar scattering; Smoothing methods; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7925-X
  • Type

    conf

  • DOI
    10.1109/RISSP.2003.1285698
  • Filename
    1285698