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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.14573 |
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| _version_ | 1866911112051556352 |
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| author | Li, Yutong Yu, Zhenming Cheng, Liming Di, Jiayu Lin, Liang Ma, Jingyue Zhang, Tongshuo Zhou, Yue Zhao, Haiying Xu, Kun |
| author_facet | Li, Yutong Yu, Zhenming Cheng, Liming Di, Jiayu Lin, Liang Ma, Jingyue Zhang, Tongshuo Zhou, Yue Zhao, Haiying Xu, Kun |
| contents | Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges including high cost, bulky instrumentation, and inefficient data collection. In this work, we demonstrate a broadband NIR compressive spectral imaging system that is capable of capturing hyperspectral data covering a broad spectral bandwidth ranging from 700 to 1600 nm. By segmenting wavelengths and designing specialized optical components, our design overcomes hardware spectral limitations to capture broadband data, while the reflective optical structure makes the system compact. This approach provides a novel technical solution for NIR hyperspectral imaging. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_14573 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure Li, Yutong Yu, Zhenming Cheng, Liming Di, Jiayu Lin, Liang Ma, Jingyue Zhang, Tongshuo Zhou, Yue Zhao, Haiying Xu, Kun Image and Video Processing Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges including high cost, bulky instrumentation, and inefficient data collection. In this work, we demonstrate a broadband NIR compressive spectral imaging system that is capable of capturing hyperspectral data covering a broad spectral bandwidth ranging from 700 to 1600 nm. By segmenting wavelengths and designing specialized optical components, our design overcomes hardware spectral limitations to capture broadband data, while the reflective optical structure makes the system compact. This approach provides a novel technical solution for NIR hyperspectral imaging. |
| title | Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2508.14573 |