• DocumentCode
    1934534
  • Title

    A Fuzzy Filter for SAR Image De-noising

  • Author

    Chen, Yilun ; Huang, Fuyue ; Yang, Jian

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • Volume
    2
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    In this paper, a new approach to speckle filtering of synthetic aperture radar (SAR) data is presented. The idea of fuzzy window is firstly presented, where the similarity of scattering mechanism between the central filtered pixel and neighborhood pixel is depicted by the fuzzy membership function. Based on the fuzzy window, a fuzzy filter is proposed; where different pixels in the neighborhood window make different contribution to the local statistics calculation, according to their membership function value. By paying more attention to the similar scattering mechanism pixels, better performance is achieved, especially for edge/structure preserving. The effectiveness of the fuzzy filter is demonstrated using the National Aeronautics and Space Administration Jet Propulsion Laboratory airborne SAR data
  • Keywords
    filtering theory; fuzzy set theory; image denoising; image resolution; radar imaging; synthetic aperture radar; SAR image denoising; central filtered pixel; fuzzy filter; fuzzy window; scattering mechanism; speckle filtering; synthetic aperture radar; Adaptive filters; Data engineering; Filtering; Image denoising; Noise reduction; Propulsion; Radar scattering; Speckle; Statistics; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.345555
  • Filename
    4129036