Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior
文献类型：期刊论文
| 作者 | Yin, Xiaorui2; Su, Lijuan2; Chen, Xin3; Liu, Hejian2; Yan, Qiangqiang1,2 ; Yuan, Yan2
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| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
 |
| 出版日期 | 2024 |
| 卷号 | 62页码:1-15 |
| 关键词 | Hyperspectral images (HSIs) nonlocal low-rank tensor (NLRT) single disperser coded aperture snapshot spectral imaging (SD-CASSI) two-step projection model |
| ISSN号 | 01962892;15580644 |
| DOI | 10.1109/TGRS.2024.3398299 |
| 产权排序 | 3 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 源URL | [http://ir.opt.ac.cn/handle/181661/97485]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, CAS Key Laboratory of Spectral Imaging Technology, Xi'an; 710119, China 2.Beihang University, School of Instrumentation and Optoelectronics Engineering, Beijing; 100191, China; 3.Beihang University, School of Mathematical Sciences, Beijing; 100191, 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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