Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing | |
Wang, Kaidong4,5; Wang Y(王尧)1,5; Zhao XL(赵熙乐)6; Chan, Jonathan Cheung-Wai3; Xu ZB(徐宗本)4; Meng DY(孟德宇)2,4 | |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
2020 | |
卷号 | 58期号:11页码:7654-7671 |
关键词 | Hyperspectral (HS) image image fusion nonlocal tensor decomposition spatial enhancement spectral unmixing |
ISSN号 | 0196-2892 |
产权排序 | 3 |
英文摘要 | Hyperspectral (HS) imaging has shown its superiority in many real applications. However, it is usually difficult to obtain high-resolution (HR) HS images through existing imaging techniques due to the hardware limitations. To improve the spatial resolution of HS images, this article proposes an effective HS-multispectral (HS-MS) image fusion method by combining the ideas of nonlocal low-rank tensor modeling and spectral unmixing. To be more precise, instead of unfolding the HS image into a matrix as done in the literature, we directly represent it as a tensor, then a designed nonlocal Tucker decomposition is used to model its underlying spatial-spectral correlation and the spatial self-similarity. The MS image serves mainly as a data constraint to maintain spatial consistency. To further reduce the spectral distortions in spatial enhancement, endmembers, and abundances from the spectral are used for spectral regularization. An efficient algorithm based on the alternating direction method of multipliers (ADMM) is developed to solve the resulting model. Extensive experiments on four HS image data sets demonstrate the superiority of the proposed method over several state-of-theart HS-MS image fusion methods. |
资助项目 | National Key Research and Development Program of China[2018YFB1402600] ; National Natural Science Foundation of China[11971374] ; National Natural Science Foundation of China[11501440] ; National Natural Science Foundation of China[61603292] ; National Natural Science Foundation of China[91846110] ; National Natural Science Foundation of China[61876203] ; Fundamental Research Funds for the Central Universities[xjj2018085] ; MoE-CMCC Artifical Intelligence Project[MCM20190701] |
WOS关键词 | MATRIX FACTORIZATION ; VARIABLE SELECTION ; SUPERRESOLUTION ; RESTORATION ; REGRESSION ; FRAMEWORK ; MS |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000583850500012 |
资助机构 | National Key Research and Development Program of China [2018YFB1402600] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11971374, 11501440, 61603292, 91846110, 61876203] ; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [xjj2018085] ; MoE-CMCC Artifical Intelligence Project [MCM20190701] |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/28007] |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Wang Y(王尧) |
作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Macau Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau 3.Department of Electronics and Informatics, Vrije Universiteit Brussel, 1050 Brussels, Belgium 4.School of Mathematics and Statistics, Xi'an Jiaotong University, Xi’an 710049, China 5.Center for Intelligent Decision-making and Machine Learning, School of Management, Xi'an Jiaotong University, Xi'an 710049, China 6.School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China |
推荐引用方式 GB/T 7714 | Wang, Kaidong,Wang Y,Zhao XL,et al. Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2020,58(11):7654-7671. |
APA | Wang, Kaidong,Wang Y,Zhao XL,Chan, Jonathan Cheung-Wai,Xu ZB,&Meng DY.(2020).Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(11),7654-7671. |
MLA | Wang, Kaidong,et al."Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.11(2020):7654-7671. |
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