A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution
Nie, Xiangli1; Huang, Xiayuan1; Feng, Wensen2
2017-09-01
发表期刊DIGITAL SIGNAL PROCESSING
卷号68期号:68页码:44-56
文章类型Article
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.
关键词Synthetic Aperture Radar (Sar) Speckle Noise g(0) Distribution Nonlocal Total Variation (Nltv) Primal-dual Algorithm Mellin Transform (Mt)
WOS标题词Science & Technology ; Technology
DOI10.1016/j.dsp.2017.05.008
关键词[WOS]MULTIPLICATIVE NOISE ; SPECKLE REDUCTION ; WAVELET DOMAIN ; STATISTICS ; CLUTTER ; FILTER ; MARKOV
收录类别SCI
所属项目编号61602483
语种英语
项目资助者National Natural Science Foundation of China(61602483 ; Beijing Natural Science Foundation(4174107) ; Early Career Development Award of SKLMCCS(Y659011F4A) ; 61379093 ; 91648205)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000407409100005
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19385
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
DSP2017.pdf(4217KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Nie, Xiangli]的文章
[Huang, Xiayuan]的文章
[Feng, Wensen]的文章
百度学术
百度学术中相似的文章
[Nie, Xiangli]的文章
[Huang, Xiayuan]的文章
[Feng, Wensen]的文章
必应学术
必应学术中相似的文章
[Nie, Xiangli]的文章
[Huang, Xiayuan]的文章
[Feng, Wensen]的文章
相关权益政策
暂无数据
收藏/分享
文件名: DSP2017.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。