• DocumentCode
    1454790
  • Title

    Improved bilateral filtering for SAR image despeckling

  • Author

    Zhang, Weifeng Gordon ; Zhang, Qi ; Yang, C.S.

  • Author_Institution
    Coll. of Geol. Eng. & Geomatics, Chang´an Univ., Xi´an, China
  • Volume
    47
  • Issue
    4
  • fYear
    2011
  • Firstpage
    286
  • Lastpage
    288
  • Abstract
    To effectively preserve edges of synthetic aperture radar (SAR) images while cleanly despeckling, an improved bilateral filtering algorithm (IBF) is proposed. A threshold value is first calculated, which is used to distinguish whether the current pixel and its neighbouring pixels are homogeneous or not. Then, bilateral filtering (BF) is improved by reducing its two parameters to one, which emphasises the contribution of adjacent homogeneous pixels to the approximation of the current pixel. Finally, IBF is applied to remove speckles. The despeckling results for SAR images show that the visual quality and evaluation indexes of IBF outperform those of enhanced Lee filtering (ELF) and BF.
  • Keywords
    filtering theory; image denoising; radar imaging; speckle; synthetic aperture radar; ELF; IBF; SAR image despeckling; SAR images; adjacent homogeneous pixels; enhanced Lee filtering; evaluation indexes; improved bilateral filtering algorithm; neighbouring pixels; remove speckles; synthetic aperture radar images; threshold value; visual quality;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.2982
  • Filename
    5716817