Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
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DOI：
10.1016/j.isprsjprs.2015.08.002
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发表时间：
2015-10-01
影响因子：
12.7
通讯作者：
Bareth, Georg
中科院分区：
文献类型：
--
作者：
Aasen, Helge;Burkart, Andreas;Bareth, Georg
本文介绍了一种新的方法来获得三维高光谱信息的轻量级快照相机的无人机植被监测。快照相机记录一个图像立方体与一个光谱和两个空间维度与每次曝光。首先，我们描述和应用方法来辐射特征和校准这些相机。然后，我们介绍了我们的处理链，从校准的图像立方体的基础上从运动的结构来获得3D高光谱信息。该方法包括一种新的方法，用于质量保证的数据，这是用来评估质量的高光谱数据的每一个单一的像素在最终的数据产品。其结果是一个高光谱数字表面模型，作为在3D空间中的表面的表示，与由表面覆盖的物体发射和反射的高光谱信息相关联。在这项研究中，我们使用高光谱相机Cubert UHD 185-Firefly，它收集了从450到950 nm的125个波段。所获得的数据产品的空间分辨率约为1厘米的空间和21厘米的高光谱信息。与ASD FieldSpec 3相比，辐射校准在大部分光谱范围内产生了小于1%的反射率偏移的良好结果。质量保证信息表明，辐射精度优于0.13%的衍生数据产品。我们应用的方法，从飞行活动的数据在大麦实验中不同品种的生长阶段的标题（BBCH 52 - 59），以证明在精准农业的背景下，植被监测的可行性。从数据产品中检索的植物参数对应于植物高度（R-2 = 0.7）、叶绿素（BGI 2，R-2 = 0.52）、LAI（RDVI，R-2 = 032）和生物量（RDVI，R-2 = 0.29）的单个日期田间活动的田间测量。我们的方法也可以应用于其他图像帧相机，只要图像立方体的各个波段在空间上预先共同注册。(C)2015年国际摄影测量与遥感学会（摄影测量和遥感学会）。Elsevier B. V.出版，保留所有权利。
This paper describes a novel method to derive 3D hyperspectral information from lightweight snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot cameras record an image cube with one spectral and two spatial dimensions with every exposure. First, we describe and apply methods to radiometrically characterize and calibrate these cameras. Then, we introduce our processing chain to derive 3D hyperspectral information from the calibrated image cubes based on structure from motion. The approach includes a novel way for quality assurance of the data which is used to assess the quality of the hyperspectral data for every single pixel in the final data product. The result is a hyperspectral digital surface model as a representation of the surface in 3D space linked with the hyperspectral information emitted and reflected by the objects covered by the surface. In this study we use the hyperspectral camera Cubert UHD 185-Firefly, which collects 125 bands from 450 to 950 nm. The obtained data product has a spatial resolution of approximately 1 cm for the spatial and 21 cm for the hyperspectral information. The radiometric calibration yields good results with less than 1% offset in reflectance compared to an ASD FieldSpec 3 for most of the spectral range. The quality assurance information shows that the radiometric precision is better than 0.13% for the derived data product. We apply the approach to data from a flight campaign in a barley experiment with different varieties during the growth stage heading (BBCH 52 - 59) to demonstrate the feasibility for vegetation monitoring in the context of precision agriculture. The plant parameters retrieved from the data product correspond to in-field measurements of a single date field campaign for plant height (R-2 = 0.7), chlorophyll (BGI2, R-2 = 0.52), LAI (RDVI, R-2 = 032) and biomass (RDVI, R-2 = 0.29). Our approach can also be applied for other image-frame cameras as long as the individual bands of the image cube are spatially co-registered beforehand. (C) 2015 International Society for Photogrammety and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.