UAV-based hyperspectral imaging detection for explosives and contaminants
高光谱成像
爆炸物
遥感
污染
环境科学
计算机科学
地质学
地理
生态学
生物
考古
作者
Yangyang Liu,Qunbo Lv,Jianwei Wang,Linlin Pei,Weiyan Li
标识
DOI:10.1117/12.2532716
摘要
In order to accomplish the remote sensing detection demands of drones, which is aimed at potential hazards such as explosives and pollutants on the disaster site, the uav-based hyperspectral imaging remote sensing detection methods should be researched. Taking into account the spectral information on disaster site is frequently weak, the detection mechanism of hyperspectral imaging technology leads to its low sensitivity to weak information. The integrated multiplexing method of complex optical path, high-sensitivity hyperspectral spectroscopic imaging function, integrated design method, and the optical aberration optimization of wide band in large field of view are studied, the lightminiaturization high-sensitivity hyperspectral imager on drones has been developed, which breaks through the key technologies of high-sensitivity spectral imaging. Meanwhile, in order to ensure the timeliness of explosive information detection, the rapid and high-precision extracting processing methods of the large amount of hyperspectral data for targets such as explosives on the disaster site must be deliberated, while developing the rapid and high-precision imaging hyperspectral data processing software, to provide rapidly detailed information supporting for accident disposal and rescue deployment on the disaster site, and implement the practical application of hyperspectral imaging technology in disaster and environmental monitoring.