Volume 30 Issue 5
May  2005
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WANG Qing, XU Xin, GUAN Bao, SUN Hong. An Algorithm for SAR Image Filtering Based on Bayesian Principle and MRF Modeling[J]. Geomatics and Information Science of Wuhan University, 2005, 30(5): 464-467.
Citation: WANG Qing, XU Xin, GUAN Bao, SUN Hong. An Algorithm for SAR Image Filtering Based on Bayesian Principle and MRF Modeling[J]. Geomatics and Information Science of Wuhan University, 2005, 30(5): 464-467.
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An Algorithm for SAR Image Filtering Based on Bayesian Principle and MRF Modeling

  • 1 School of Electronic Information, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

Funds: 国家自然科学基金资助项目(40376051);湖北省自然科学基金资助项目(2002AB0034)
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  • Received Date: March 18, 2005
  • Revised Date: March 18, 2005
  • Published Date: May 04, 2005
    Graphical Abstract
    • Abstract
  • Based on wavelet transform, a new Speckle reduction method is presented in this paper, and using wavelet-domain hidden Markov models to calculate posterior probability of state parameter, which describes the texture information of images. Then the posterior probability is used as filtering weighting factors in GammaMAP algorithm to reduce Speckle. The algorithm proposed was applied to both simulative images and ERS-1 SAR images. Compared with the original GammaMAP , the results indicate that this new approach can suppress Speckle and preserve more details as well.
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