An Algorithm for SAR Image Filtering Based on Bayesian Principle and MRF Modeling
- Received Date: 2005-03-19
- Rev Recd Date: 2005-03-19
- Publish Date: 2005-05-05
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.|