Development of an airborne hyperspectral scanning camera system for agricultural missions

M. A. Maestro, Andrew Rafael Bañas, Micherene Clauzette Peralta Lofamia, Ralph Aaron, Aguinaldo, Rogie Bernabe, D. J. Occeña, Lorenz R. Toleos, Jholeeh Charls, Madalipay, M. Soriano
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Abstract

This paper discusses the development of an airborne pushbroom imaging system that yields hyperspectral images for agricultural monitoring missions. It reports the optical payload design and assembly during prototyping and operation. The operational design and requirements to successfully deploy the payload and conduct its missions are given. The other subsystem components such as the onboard computer, gimbals, chassis, and battery packs, which are all necessary for the airborne deployment and telemetry data acquisition required in processing the raw captures into level 1 images are further examined. It shows the post-processing technique tested on captures from a prototype and sample drone data. By flying a hyperspectral imager on a drone (DJI Matrice 600 Pro), we get the advantage of zero cloud cover over the agricultural area of interest, and imaging on-demand, for example, during infestation or right after calamities.
用于农业任务的机载高光谱扫描相机系统的研制
本文讨论了为农业监测任务提供高光谱图像的机载推进扫帚成像系统的发展。它报告了在原型和操作期间的光学有效载荷设计和组装。给出了成功部署有效载荷并执行其任务的操作设计和要求。其他子系统组件,如机载计算机、万向架、底盘和电池组,都是机载部署和遥测数据采集所必需的,在将原始捕获处理为1级图像时,将进一步检查。它显示了从原型和样本无人机数据捕获测试的后处理技术。通过在无人机(大疆matrix 600 Pro)上飞行高光谱成像仪,我们可以在感兴趣的农业地区获得零云覆盖的优势,并按需成像,例如,在虫害期间或灾难发生后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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