• DocumentCode
    518667
  • Title

    An improved SAR image speckle filter

  • Author

    Li Zhuang ; Wang Kun-peng

  • Author_Institution
    Coll. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    3
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    139
  • Lastpage
    143
  • Abstract
    An improved SAR image denoising method based on sigma filter was proposed here. Firstly, we analyzed the traditional sigma filter and showed its weakness in removing complex noise while maintaining sharpness of edges. Secondly, the sigma filter was modified to accommodate to image with complex noise. Then, to maintain the sharpness of weak edges, we put forward a new method named grey center offset sigma filter (GCOSF). In GCOSF, canny detector is utilized to detect regions containing edges. We adopt grey center offset value instead of center value to calculate filtering result. Last, experimental results demonstrate that the GCOSF performs better than traditional sigma filter and several other filters by considering the effect of noise removing and edge keeping simultaneously.
  • Keywords
    filtering theory; image denoising; radar imaging; synthetic aperture radar; GCOSF; SAR image denoising method; SAR image speckle filter; grey center offset sigma filter; grey center offset value; synthetic aperture radar; Aerospace engineering; Aerospace materials; Educational institutions; Filtering; Image denoising; Image edge detection; Maintenance engineering; Nonlinear filters; Pixel; Speckle; SAR image; complex noise; edge preserving; rey center offset; sigma filter; weak edge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486759
  • Filename
    5486759