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Hyperspectral image super-resolution with self-supervised spectral-spatial residual network
Chen, Wenjing1,2; Zheng, Xiangtao1; Lu, Xiaoqiang1
作者部门光谱成像技术研究室
2021-04-01
发表期刊Remote Sensing
ISSN20724292
卷号13期号:7
产权排序1
摘要

Recently, many convolutional networks have been built to fuse a low spatial resolution (LR) hyperspectral image (HSI) and a high spatial resolution (HR) multispectral image (MSI) to obtain HR HSIs. However, most deep learning-based methods are supervised methods, which require sufficient HR HSIs for supervised training. Collecting plenty of HR HSIs is laborious and time-consuming. In this paper, a self-supervised spectral-spatial residual network (SSRN) is proposed to alleviate dependence on a mass of HR HSIs. In SSRN, the fusion of HR MSIs and LR HSIs is considered a pixel-wise spectral mapping problem. Firstly, this paper assumes that the spectral mapping between HR MSIs and HR HSIs can be approximated by the spectral mapping between LR MSIs (derived from HR MSIs) and LR HSIs. Secondly, the spectral mapping between LR MSIs and LR HSIs is explored by SSRN. Finally, a self-supervised fine-tuning strategy is proposed to transfer the learned spectral mapping to generate HR HSIs. SSRN does not require HR HSIs as the supervised information in training. Simulated and real hyperspectral databases are utilized to verify the performance of SSRN. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

关键词hyperspectral image super-resolution data fusion spectral-spatial residual network multispectral image self-supervised training
DOI10.3390/rs13071260
收录类别SCI ; EI
语种英语
WOS记录号WOS:000638794300001
出版者MDPI AG
EI入藏号20211410165526
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/94664
专题光谱成像技术研究室
通讯作者Zheng, Xiangtao
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,Zheng, Xiangtao,Lu, Xiaoqiang. Hyperspectral image super-resolution with self-supervised spectral-spatial residual network[J]. Remote Sensing,2021,13(7).
APA Chen, Wenjing,Zheng, Xiangtao,&Lu, Xiaoqiang.(2021).Hyperspectral image super-resolution with self-supervised spectral-spatial residual network.Remote Sensing,13(7).
MLA Chen, Wenjing,et al."Hyperspectral image super-resolution with self-supervised spectral-spatial residual network".Remote Sensing 13.7(2021).
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