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  2. 地质与地球物理研究所
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  4. 中国科学院油气资源研究重点实验室
Weighted Total Variation Regularized Blind Unmixing for Hyperspectral Image

文献类型：期刊论文

作者Song, Hanjie2; Wu, Xing2; Zou, Anqi1; Liu, Yang2; Zou, Yongliao2
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2021-07-14
页码5
关键词TV Hyperspectral imaging Sparse matrices Matrix decomposition Linear programming Estimation Biological system modeling Alternating direction method of multipliers (ADMM) blind hyperspectral unmixing hyperspectral imagery (HSI) total variation (TV)
ISSN号1545-598X
DOI10.1109/LGRS.2021.3094826
英文摘要Hyperspectral unmixing plays an important role in hyperspectral imagery (HSI) processing. Numerous unmixing algorithms have been proposed over the last decades. In this letter, we focus on the blind source separation model, which has drawn much attention in the hyperspectral community. However, the nonconvexity of the blind unmixing method often suffers from undesired solution. Thus, additional assumptions and regularizations are required to advance the unmixing performance. In this work, we proposed a new weighted total variation regularized blind unmixing (wtvBU) for HSI. The nonconvex sparsity-inducing function log-exp was exploited to build the weight matrix, which promotes the smooth transitions in the abundance map while preserving the spatial contextual information of the image scene. The proposed algorithm was efficiently solved via the alternating direction method of multipliers. Experimental results on two benchmark HSIs demonstrated that wtvBU achieved competitive performance when compared with other state-of-the-art unmixing algorithms.
WOS关键词FAST ALGORITHM
资助项目National Key Research and Development Program of China[2020YFE0202100] ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA)[D020201] ; National Natural Science Foundation of China[11941001] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB 41000000]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000732220900001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; Pre-Research Project on Civil Aerospace Technologies - Chinese National Space Administration (CNSA) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.iggcas.ac.cn/handle/132A11/103928]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Zou, Anqi
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Natl Space Sci Ctr, State Key Lab Space Weather, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Song, Hanjie,Wu, Xing,Zou, Anqi,et al. Weighted Total Variation Regularized Blind Unmixing for Hyperspectral Image[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2021:5.
APA Song, Hanjie,Wu, Xing,Zou, Anqi,Liu, Yang,&Zou, Yongliao.(2021).Weighted Total Variation Regularized Blind Unmixing for Hyperspectral Image.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,5.
MLA Song, Hanjie,et al."Weighted Total Variation Regularized Blind Unmixing for Hyperspectral Image".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021):5.

入库方式： OAI收割

来源：地质与地球物理研究所

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