• DocumentCode
    3045871
  • Title

    Speckle Noise Filtering for Sea SAR Image

  • Author

    Jiang, Yongxin ; Wang, Xiaotong ; Xu, Xiaogang ; Ye, Xiyong

  • Author_Institution
    Dalian Naval Acad., Dalian, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    523
  • Lastpage
    527
  • Abstract
    The aliasing of the speckle noise and echo information of sea SAR blurs the structure character of sea SAR image. It is difficult that to enhance structure character of sea SAR image. Aiming at this difficulty, we propose a amalgamation frame based on EMD and exponent. The frame can effectively filter the speckle noise and enhance the structure character which finally can be seen by peoplepsilas eyes. Using the different frequency character of each level, the content of each level noise and non-noise are analyzed and exponent of each level is adjusted. And the speckle noise of simple SAR image in different scale is filtered. At last, we obtain the new denoised SAR image. The experiment result indicates that speckle noise of our result is substantially decreased and the structure character and texture of the result is clearer. And ours eyes can distinguish the character of sea SAR image. So that it proves that our filtering algorithm is effective to filter the speckle noise of sea SAR image.
  • Keywords
    echo; filtering theory; geophysical signal processing; image denoising; image enhancement; image texture; radar imaging; seawater; speckle; synthetic aperture radar; EMD; SAR image denoising; SAR image texture; amalgamation frame; sea SAR image enhancement; sea echo information; speckle noise filtering algorithm; Brightness; Electromagnetic scattering; Eyes; Filtering algorithms; Filters; Frequency; Noise reduction; Radar imaging; Speckle; Vegetation mapping; Holder Exponent; Image Denoising; Speckle noise; Synthetic Aperture Radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.219
  • Filename
    5209239