SAR Image Despeckling Based on CO Distribution

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	SAR Image Despeckling Based on CO Distribution
	Xiangli Nie; Bo Zhang; Hong Qiao; Suiwu Zheng
	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)
内容类型	会议论文
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.