Semisupervised Spectral Degradation Constrained Network for Spectral Super-Resolution | |
Chen, Wenjing1; Zheng, Xiangtao2; Lu, Xiaoqiang3 | |
作者部门 | 光谱成像技术研究室 |
发表期刊 | IEEE Geoscience and Remote Sensing Letters |
ISSN | 1545598X;15580571 |
产权排序 | 1 |
摘要 | Recently, various deep learning-based methods have been designed to improve the spectral resolution of the multispectral image (MSI) to obtain the hyperspectral image (HSI). These methods usually rely on sufficient MSI/HSI pairs for supervised training. However, collecting plentiful HSIs is time-consuming. In this letter, a semisupervised spectral degradation constrained network (SSDCN) is proposed to improve the spectral resolution of MSI. SSDCN is an autoencoder-like network that is composed of an encoder subnetwork for estimating HSI from input MSI and a decoder subnetwork for reconstructing MSI from the estimated HSI. A semisupervised training method is proposed to explore both MSI/HSI pairs and MSIs without ground-truth HSIs to optimize SSDCN. Simulated and two real databases are employed to demonstrate the effectiveness of SSDCN. IEEE |
关键词 | Deep learning hyperspectral image (HSI) multispectral image (MSI) semisupervised training spectral degradation spectral super-resolution |
DOI | 10.1109/LGRS.2021.3079961 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000732408100001 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20212310464071 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/94879 |
专题 | 光谱成像技术研究室 |
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, and also with the University of Chinese Academy of Sciences, Beijing 100049, China.; 2.Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China (e-mail: xiangtaoz@gmail.com); 3.Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China. |
推荐引用方式 GB/T 7714 | Chen, Wenjing,Zheng, Xiangtao,Lu, Xiaoqiang. Semisupervised Spectral Degradation Constrained Network for Spectral Super-Resolution[J]. IEEE Geoscience and Remote Sensing Letters. |
APA | Chen, Wenjing,Zheng, Xiangtao,&Lu, Xiaoqiang. |
MLA | Chen, Wenjing,et al."Semisupervised Spectral Degradation Constrained Network for Spectral Super-Resolution".IEEE Geoscience and Remote Sensing Letters |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Semisupervised Spect(4150KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论