Hyperspectral Image Reconstruction Using Spatial Enhancement Neural Networks with Hybrid Prior Strategy
We propose a spatial enhancement neural network with hybrid prior strategy for dual-camera compressed hyperspectral imaging system. The results show our method can more effectively utilize grayscale information and improve the reconstruction quality.
Authors
- Kun Xu (ORCID: https://orcid.org/0000-0002-1663-9998)
- Jian Ma (ORCID: https://orcid.org/0000-0003-2644-5756)
- Zhenming Yu (ORCID: https://orcid.org/0000-0001-9516-9180)
- Yue Zhou
- Liming Cheng (ORCID: https://orcid.org/0000-0003-3396-4300)
- Yantao Jin
- Jiayu Di
- Haiying Zhao
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809508
- Primary Topic
- Advanced Image Fusion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Beijing Key Laboratory of Network System Architecture and Convergence
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities