High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring
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 w...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2023/2286867 |
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| _version_ | 1849306556872523776 |
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| author | Yaoyao Hu Jun Chang Yiting Li Wenchao Zhang Xiaoxiao Lai Quanquan Mu |
| author_facet | Yaoyao Hu Jun Chang Yiting Li Wenchao Zhang Xiaoxiao Lai Quanquan Mu |
| author_sort | Yaoyao Hu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-36bc0eaa92a24cecb46028a98aeda172 |
| institution | Kabale University |
| issn | 2314-4939 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-36bc0eaa92a24cecb46028a98aeda1722025-08-20T03:55:02ZengWileyJournal of Spectroscopy2314-49392023-01-01202310.1155/2023/2286867High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest MonitoringYaoyao Hu0Jun Chang1Yiting Li2Wenchao Zhang3Xiaoxiao Lai4Quanquan Mu5School of Optics and PhotonicsSchool of Optics and PhotonicsSchool of Optics and PhotonicsSchool of Optics and PhotonicsSchool of Optics and PhotonicsKey Laboratory of Optical System Advanced Manufacturing TechnologySnapshot 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.http://dx.doi.org/10.1155/2023/2286867 |
| spellingShingle | Yaoyao Hu Jun Chang Yiting Li Wenchao Zhang Xiaoxiao Lai Quanquan Mu High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring Journal of Spectroscopy |
| title | High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring |
| title_full | High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring |
| title_fullStr | High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring |
| title_full_unstemmed | High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring |
| title_short | High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring |
| title_sort | high zoom ratio foveated snapshot hyperspectral imaging for fruit pest monitoring |
| url | http://dx.doi.org/10.1155/2023/2286867 |
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