太阳成8722(中国)有限公司-GREEN NO.1

标题：Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties作者：Liu, Xinxin; Lu, Xiliang; Shen, Huanfeng; Yuan, Qiangqiang; Jiao,Yuling; Zhang, Liangpei

来源出版物：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 卷：54 期：5 页码：3049-3060 DOI: 10.1109/TGRS.2015.2510418 出版年：MAY 2016

摘要：Remote sensing images are often contaminated by varying degrees of stripes, which severely affects the visual quality and subsequent application of the data. Unlike with conventional methods, we achieve the destriping by separating the stripe component based on a full analysis of the various stripe properties. Under an optimization framework, an l(0)-norm-based regularization is used to characterize the global sparse distribution of the stripes. In addition, difference-based constraints are adopted to describe the local smoothness and discontinuity in the along-stripe and across-stripe directions, respectively. The alternating direction method of multipliers is applied to solve and accelerate the model optimization. Experiments with both simulated and real data demonstrate the effectiveness of the proposed model, in terms of both qualitative and quantitative perspectives.

入藏号：WOS:000374968500045

文献类型：Article

语种：English

作者关键词：Alternating direction method of multipliers (ADMM), destriping, optimization-based model, remote sensing image, sparsity

扩展关键词：UNIDIRECTIONAL TOTAL VARIATION; LANDSAT MSS IMAGES; MODIS DATA; RESTORATION; ALGORITHM; WAVELET; REPRESENTATION; DICTIONARIES

通讯作者地址：

Shen, HF, Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Shen, HF, Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

电子邮件地址：yuki_lxx@126.com; xllv.math@whu.edu.cn; shenhf@whu.edu.cn; yqiang86@gmail.com; yulingjiaomath@whu.edu.cn; zlp62@whu.edu.cn

地址：

[Liu, Xinxin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Lu, Xiliang] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China.

[Lu, Xiliang] Wuhan Univ, Computat Sci Hubei Key Lab, Wuhan 430072, Peoples R China.

[Shen, Huanfeng] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Sch Resource & Environm Sci, Wuhan *430079*, Peoples R China.

[Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Liangpei] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

[Yuan, Qiangqiang] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China.

[Jiao, Yuling] Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Peoples R China.

[Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

研究方向：Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology

ISSN：0196-2892

eISSN: 1558-0644

影响因子（2014）：3.514