Unregistered Hyperspectral and Multispectral Image Fusion with Synchronous Nonnegative Matrix Factorization | |
Chen, Wenjing1,2; Lu, Xiaoqiang1 | |
2020 | |
会议名称 | 3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020 |
会议录名称 | Pattern Recognition and Computer Vision - 3rd Chinese Conference, PRCV 2020, Proceedings |
卷号 | 12305 LNCS |
页码 | 602-614 |
会议日期 | 2020-10-16 |
会议地点 | Nanjing, China |
出版者 | Springer Science and Business Media Deutschland GmbH |
产权排序 | 1 |
摘要 | Recently, many methods have been proposed to generate a high spatial resolution (HR) hyperspectral image (HSI) by fusing HSI and multispectral image (MSI). Most methods need a precondition that HSI and MSI are well registered. However, in practice, it is hard to acquire registered HSI and MSI. In this paper, a synchronous nonnegative matrix factorization (SNMF) is proposed to directly fuse unregistered HSI and MSI. The proposed SNMF does not require the registration operation by modeling the abundances of unregistered HSI and MSI independently. Moreover, to exploit both HSI and MSI in the endmember optimization of the desired HR HSI, the unregistered HSI and MSI fusion is formulated as a bound-constrained optimization problem. A synchronous projected gradient method is proposed to solve this bound-constrained optimization problem. Experiments on both simulated and real data demonstrate that the proposed SNMF outperforms the state-of-the-art methods. © 2020, Springer Nature Switzerland AG. |
关键词 | Image fusion Nonnegative matrix factorization Hyperspectral image Multispectral image |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1007/978-3-030-60633-6_50 |
收录类别 | EI |
ISBN号 | 9783030606329 |
语种 | 英语 |
ISSN号 | 03029743;16113349 |
EI入藏号 | 20204409410245 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93766 |
专题 | 光谱成像技术研究室 |
通讯作者 | Lu, Xiaoqiang |
作者单位 | 1.Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Chen, Wenjing,Lu, Xiaoqiang. Unregistered Hyperspectral and Multispectral Image Fusion with Synchronous Nonnegative Matrix Factorization[C]:Springer Science and Business Media Deutschland GmbH,2020:602-614. |
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