An Algorithm for SAR Image Filtering Based on Bayesian Principle and MRF Modeling
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)
- Received Date: 2005-03-19
- Rev Recd Date: 2005-03-19
- Publish Date: 2005-05-05
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Key words:
- synthetic aperture radar /
- Speckle reduction /
- Bayesian principle /
- Markov random field
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.
| 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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