| Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior | |
Yin, Xiaorui2; Su, Lijuan2; Chen, Xin1; Liu, Hejian2; Yan, Qiangqiang2,3 ; Yuan, Yan2
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| 作者部门 | 光谱成像技术研究室 |
| 2024 | |
| 发表期刊 | IEEE Transactions on Geoscience and Remote Sensing
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| ISSN | 01962892;15580644 |
| 卷号 | 62页码:1-15 |
| 产权排序 | 3 |
| 摘要 | In single disperser coded aperture snapshot spectral imaging (SD-CASSI) systems, many methods have been developed to reconstruct hyperspectral images (HSIs) from compressed measurements. Among these, deep learning (DL)-based methods have stood out, relying on powerful DL networks. However, the solidified structure of DL-based methods limits their adaptability. Moreover, they are often based on a model that neglects the dispersion process and instead emphasizes the encoding-compression process. Furthermore, research on optimization-based methods designed especially for SD-CASSI is lacking. In this article, we propose a comprehensive two-step projection imaging model for SD-CASSI that includes both spectral shearing projection and encoding-compression projection. Based on this model, we derive a tensor-based optimization framework that incorporates with the nonlocal low-rank tensor (NLRT) prior. In particular, NLRT extracts inherent spatial structural information from the measurements and employs it to guide the clustering of spatial-spectral similar HSI blocks. A CANDECOMP/PARAFAC (CP) low-rank regularizer is introduced to constrain the low-rank property of HSI block clusters. After that, we develop a solution framework based on the alternating direction method of multiplier (ADMM) approach. Comprehensive experiments demonstrate that our NLRT method outperforms state-of-the-art methods in terms of flexibility and performance. The source code and data of this article are publicly available at https://github.com/sdnjyxr/NLRT. © 1980-2012 IEEE. |
| 关键词 | Hyperspectral images (HSIs) nonlocal low-rank tensor (NLRT) single disperser coded aperture snapshot spectral imaging (SD-CASSI) two-step projection model |
| DOI | 10.1109/TGRS.2024.3398299 |
| 收录类别 | EI |
| 语种 | 英语 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| EI入藏号 | 20242016095987 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/97485 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Beihang University, School of Mathematical Sciences, Beijing; 100191, China; 2.Beihang University, School of Instrumentation and Optoelectronics Engineering, Beijing; 100191, China; 3.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, CAS Key Laboratory of Spectral Imaging Technology, Xi'an; 710119, China |
| 推荐引用方式 GB/T 7714 | Yin, Xiaorui,Su, Lijuan,Chen, Xin,et al. Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior[J]. IEEE Transactions on Geoscience and Remote Sensing,2024,62:1-15. |
| APA | Yin, Xiaorui,Su, Lijuan,Chen, Xin,Liu, Hejian,Yan, Qiangqiang,&Yuan, Yan.(2024).Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior.IEEE Transactions on Geoscience and Remote Sensing,62,1-15. |
| MLA | Yin, Xiaorui,et al."Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior".IEEE Transactions on Geoscience and Remote Sensing 62(2024):1-15. |
| 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 | ||
| Hyperspectral Image （3008KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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