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Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs

机译:全帧高光谱相机校准的介绍和初步结果,以监控与无人机的农业庄稼

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Hyperspectral remote sensing helps to acquire information about the status of agricultural crops to allow optimized management practices in the context of precision agriculture. Due to technological innovations small and lightweight hyperspectral sensors have become available which may be carried by unmanned aerial vehicles (UAVs). In this paper we give a brief overview over existing hyperspectral sensors for UAVs. We focus on a new type of full-frame sensors which capture hyperspectral information in two dimensional image frames. We then develop a calibration procedure for these sensors and identify challenges in remote sensing of vegetation. The calibration is evaluate by in-field data acquired during a flight campaign. The spectral calibration shows good results with less than three percent difference in reflection for 110 of the 125 bands (458 to 886 nm).
机译:高光谱遥感有助于获取有关农业作物状况的信息,以便在精密农业背景下允许优化的管理实践。由于技术创新,小巧轻质的高光谱传感器可供使用,可以通过无人驾驶飞行器(无人机)携带。在本文中,我们简要概述了对无人机的现有高光谱传感器。我们专注于一种新型的全帧传感器,其捕获二维图像帧中的高光谱信息。然后,我们为这些传感器开发校准程序,并确定植被遥感中的挑战。通过飞行活动期间获取的现场数据评估校准。光谱校准显示出良好的结果,125条带的110个反射差异小于3%(458至886nm)。

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