Pigment Classification Based on Snapshot Hyperspectral Imaging System and AlexNet
In this paper, we implement pigment classification by using snapshot hyperspectral imaging system and AlexNet. We identify the corresponding pigments in three paintings, which provides reference for the application of snapshot hyperspectral imaging system.
Authors
- Haiying Zhao (ORCID: https://orcid.org/0000-0002-0240-4573)
- Jian Ma (ORCID: https://orcid.org/0000-0003-2644-5756)
- Zhenming Yu (ORCID: https://orcid.org/0000-0001-9516-9180)
- Yue Zhou
- Kun Xu (ORCID: https://orcid.org/0000-0001-6677-3215)
- Lefei Xu
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/ipoc63121.2024.10809652
- Citations
- 2
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 0.75
Funders
- National Natural Science Foundation of China
- Beijing University of Posts and Telecommunications
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities