Insulator pollution safety grade evaluation scheme based on hyper-spectral detection

Zhaoxun Wang; Cheng Li; Ruchao Rong; Fulin Zhou; Daihong Chen; Entie Qi

doi:10.1117/12.2678835

15 May 2023 Insulator pollution safety grade evaluation scheme based on hyper-spectral detection

Zhaoxun Wang, Cheng Li, Ruchao Rong, Fulin Zhou, Daihong Chen, Entie Qi

Proceedings Volume 12699, Third International Conference on Sensors and Information Technology (ICSI 2023); 126990K (2023) https://doi.org/10.1117/12.2678835
Event: International Conference on Sensors and Information Technology (ICSI 2023), 2023, Xiamen, China

Abstract

Most of the existing hyperspectral imagers can provide the image of insulators. Traditional optical elements such as prism and grating can only reflect the surface pollution in a certain period of time. In this paper, a new type of splitter, linear gradation filter, is proposed to replace the former grating and prism for splitting light. Compared with the traditional hyperspectral imaging system using prism or grating spectroscopy, the filter based hyperspectral camera has smaller volume, wider scanning range and higher spatial and spectral resolution.

Citation Download Citation

Zhaoxun Wang, Cheng Li, Ruchao Rong, Fulin Zhou, Daihong Chen, and Entie Qi "Insulator pollution safety grade evaluation scheme based on hyper-spectral detection", Proc. SPIE 12699, Third International Conference on Sensors and Information Technology (ICSI 2023), 126990K (15 May 2023); https://doi.org/10.1117/12.2678835

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