太阳成8722(中国)有限公司-GREEN NO.1

标题：Patch Matching-Based Multitemporal Group Sparse Representation for the Missing Information Reconstruction of Remote-Sensing Images作者：X. Li ;H. Shen ; H. Li ; L. Zhang

来源出版物：IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 卷：PP 期：99 页码：1 - 13 DOI: 10.1109/JSTARS.2016.2533547 出版年：MAR 2016

摘要：Poor weather conditions and/or sensor failure always lead to inevitable information loss for remote-sensing images acquired by passive sensor platforms. This common issue makes the interpretation (e.g., target recognition, classification, change detection) of remote-sensing data more difficult. Toward this end, this paper proposes to reconstruct the missing information of optical remote-sensing data by patch matching-based multitemporal group sparse representation (PM-MTGSR). In the framework of sparse representation, the basic idea is to utilize the local correlations in the temporal domain and the nonlocal correlations in the spatial domain. Based on image patches, the local correlations are first taken into consideration. The similar patches are then grouped for joint sparse representation so that the nonlocal correlations are also considered. Owing to the patch matching of similar patches, the nonlocal correlations in the remote-sensing images are efficiently exploited. Simulated and real-data experiments demonstrate that the proposed method is effective both qualitatively and quantitatively.

文献类型：Article

语种：English

作者关键词：Cloud removal,group sparse representation (GSR),missing information reconstruction,nonlocal similarity,patch matching,remote sensing,spectral,temporal

通讯作者地址：H. Shen ;School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

电子邮件地址：shenhf@whu.edu.cn

地址：

[X. Li ;H. Shen ; H. Li ] School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

[H. Shen]h the Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China

[L. Zhang]State Key Laboratory of Information Engineering in Surveying, Mapping

[L. Zhang]Remote Sensing, Wuhan University, Wuhan 430079, China

[H. Shen ; L. Zhang]the Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, Wuhan 430079, China

ISSN：1939-1404

影响因子（2014）：3.026

原文链接：http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7433940