A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution

doi:10.1016/j.dsp.2017.05.008

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 > 互联网大数据与安全信息学研究中心

	A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution
	Nie, Xiangli1 ; Huang, Xiayuan1 ; Feng, Wensen 2
刊名	DIGITAL SIGNAL PROCESSING
	2017-09-01
卷号	68 期号:68 页码:44-56
关键词	Synthetic Aperture Radar (Sar) Speckle Noise g(0) Distribution Nonlocal Total Variation (Nltv) Primal-dual Algorithm Mellin Transform (Mt)
DOI	10.1016/j.dsp.2017.05.008
文献子类	Article
英文摘要	In this paper, we propose a new variational model for speckle reduction of synthetic aperture radar (SAR) images based on the G(0) statistical distribution and nonlocal total variation (NLTV) regularization. The existing variational models for SAR despeckling regard the terrain backscatters as nonrandom, which is only suitable to depict the homogeneous regions. For inhomogeneous scenes, the backscatter fluctuations should be taken into account. Motivated by this, the inverse Gamma distribution is used to model the statistical property of the underlying terrain backscatter. By using the maximum a posteriori rule and NLTV penalty, a new variational model, named G(0) NLTV, is derived. The parameters in the model are estimated based on the Mellin transform of the G(0) distributions according to the local heterogeneity. Since this model lacks the global convexity, a convex model is obtained by utilizing the logarithm transformation and variable substitution. Then, the primal-dual algorithm is used to solve this optimization problem. Experimental results on both synthetic and real SAR images demonstrate the effectiveness of the proposed method. (C) 2017 Elsevier Inc. All rights reserved.
WOS关键词	MULTIPLICATIVE NOISE ; SPECKLE REDUCTION ; WAVELET DOMAIN ; STATISTICS ; CLUTTER ; FILTER ; MARKOV
WOS研究方向	Engineering
项目编号	61602483
语种	英语
WOS记录号	WOS:000407409100005
资助机构	National Natural Science Foundation of China(61602483 ; Beijing Natural Science Foundation(4174107) ; Early Career Development Award of SKLMCCS(Y659011F4A) ; 61379093 ; 91648205)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/19385]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者	Nie, Xiangli
作者单位	1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 2.Huawei Technol Co Ltd, Medium Engn Dept, Cent Hardware Engn Inst, 2012 Labs, Shenzhen 518129, Peoples R China
推荐引用方式 GB/T 7714	Nie, Xiangli,Huang, Xiayuan,Feng, Wensen. A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution[J]. DIGITAL SIGNAL PROCESSING,2017,68(68):44-56.
APA	Nie, Xiangli,Huang, Xiayuan,&Feng, Wensen.(2017).A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution.DIGITAL SIGNAL PROCESSING,68(68),44-56.
MLA	Nie, Xiangli,et al."A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution".DIGITAL SIGNAL PROCESSING 68.68(2017):44-56.