High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring

doi:10.1155/2023/2286867

CIOMP OpenIR

	High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring
	Y. Hu; J. Chang; Y. Li; W. Zhang; X. Lai and Q. Mu
	2023
发表期刊	Journal of Spectroscopy
ISSN	23144920
卷号	2023
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.
DOI	10.1155/2023/2286867
URL	查看原文
收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	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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文件名称/大小	文献类型	版本类型	开放类型	使用许可
High Zoom Ratio Fove（4482KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载