Marine Oil Spill SAR Images Despeckling Based on Hidden Markov Tree Model in the Dual-tree Complex Wavelet Domain
The presence of coherent speckle noise in the marine oil spill SAR images seriously affects the follow-up image segmentation,feature extraction and classification. To suppress more effectively the speckle noise in the marine oil spill SAR images,a method of suppressing the speckle noise in the marine oil spill SAR images based on the hidden Markov tree (HMT) model in dual-tree complex wavelet (DT-CW) domain is proposed in this paper. A large number of experimental results show that,compared with two classical filtering methods such as Lee filter and Kuan filter,and the method based on the HMT model in wavelet domain,the proposed method in this paper has superior comprehensive performance according to subjective visual and objective quantitative evaluation.
Marine oil spill SAR image Despeckling Dual-tree complex wavelet transform (DT-CWT) Hidden Markov tree model Bayesian estimation
Song Yu Wu Yiquan Wu Shihua Zhang Yufei
School of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics, School of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,
国际会议
西安
英文
1339-1342
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）