High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring

Yaoyao Hu, Jun Chang*, Yiting Li, Wenchao Zhang, Xiaoxiao Lai, Quanquan Mu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

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.

源语言英语
文章编号2286867
期刊Journal of Spectroscopy
2023
DOI
出版状态已出版 - 2023

指纹

探究 'High Zoom Ratio Foveated Snapshot Hyperspectral Imaging for Fruit Pest Monitoring' 的科研主题。它们共同构成独一无二的指纹。

引用此