High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring
文献类型：期刊论文
| 作者 | Y. Hu; J. Chang; Y. Li; W. Zhang; X. Lai and Q. Mu |
| 刊名 | Journal of Spectroscopy
 |
| 出版日期 | 2023 |
| 卷号 | 2023 |
| ISSN号 | 23144920 |
| DOI | 10.1155/2023/2286867 |
| 英文摘要 | Snapshot hyperspectral imaging technology is increasingly used in agricultural product monitoring. In this study, we present a 9× local zoom snapshot hyperspectral imaging system. Using commercial spectral sensors with spectrally resolved detector arrays, we achieved snapshot hyperspectral imaging with 14 wavelength bands and a spectral bandwidth of 10-15 nm. An experimental demonstration was performed by acquiring spatial and spectral information about the fruit and Drosophila. The results show that the system can identify Drosophila and distinguish well between different types of fruits. The results of this study have great potential for online fruit classification and pest identification. © 2023 Yaoyao Hu et al. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/67535]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | Y. Hu,J. Chang,Y. Li,et al. High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring[J]. Journal of Spectroscopy,2023,2023. |
| APA | Y. Hu,J. Chang,Y. Li,W. Zhang,&X. Lai and Q. Mu.(2023).High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring.Journal of Spectroscopy,2023. |
| MLA | Y. Hu,et al."High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring".Journal of Spectroscopy 2023(2023). |
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