SAR Image Despeckling Based on CO Distribution
文献类型：会议论文
| 作者 | Xiangli Nie ; Bo Zhang; Hong Qiao; Suiwu Zheng
|
| 出版日期 | 2013 |
| 会议名称 | International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC) |
| 会议日期 | Dec 20-22, 2013 |
| 会议地点 | Shenyang, China |
| 关键词 | synthetic aperture radar (SAR) G-zero distribution maximum a posteriori (MAP) speckle nonlocal total variation (NL-TV) primal-dual algorithm |
| 通讯作者 | Xiangli Nie |
| 英文摘要 | Abstract-In this paper, we propose a new model for synthetic aperture radar (SAR) image despeckling based on the GO statistical distribution and nonlocal total variation regularization. By taking the distribution of the backscatter into account, a new data fidelity term is derived by the maximum a posteriori Bayesian rule. Combining the new fidelity term with the nonlocal total variation regularization gives a new variational model for SAR image despeckling. The primal-dual algorithm framework is then used to solve the new variational problem. Experimental results on real SAR images demonstrate the validity of the proposed method. |
| 会议录 | International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC)
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13004]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 推荐引用方式 GB/T 7714 | Xiangli Nie,Bo Zhang,Hong Qiao,et al. SAR Image Despeckling Based on CO Distribution[C]. 见:International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC). Shenyang, China. Dec 20-22, 2013. |
入库方式： OAI收割
来源：自动化研究所
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