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Open AccessTechnical Note

Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System

1
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Beijing Golden Way Scientific Co., Ltd., Beijing 100015, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(4), 657; https://doi.org/10.3390/rs12040657
Received: 2 December 2019 / Accepted: 11 February 2020 / Published: 17 February 2020
(This article belongs to the Special Issue Trends in UAV Remote Sensing Applications)
The rapid development of unmanned aerial vehicles (UAVs), miniature hyperspectral imagers, and relevant instruments has facilitated the transition of UAV-borne hyperspectral imaging systems from concept to reality. Given the merits and demerits of existing similar UAV hyperspectral systems, we presented a lightweight, integrated solution for hyperspectral imaging systems including a data acquisition and processing unit. A pushbroom hyperspectral imager was selected owing to its superior radiometric performance. The imager was combined with a stabilizing gimbal and global-positioning system combined with an inertial measurement unit (GPS/IMU) system to form the image acquisition system. The postprocessing software included the radiance transform, surface reflectance computation, geometric referencing, and mosaic functions. The geometric distortion of the image was further significantly decreased by a postgeometric referencing software unit; this used an improved method suitable for UAV pushbroom images and showed more robust performance when compared with current methods. Two typical experiments, one of which included the case in which the stabilizing gimbal failed to function, demonstrated the stable performance of the acquisition system and data processing system. The result shows that the relative georectification accuracy of images between the adjacent flight lines was on the order of 0.7–1.5 m and 2.7–13.1 m for cases with spatial resolutions of 5.5 cm and 32.4 cm, respectively. View Full-Text
Keywords: UAV; pushbroom hyperspectral imager; geometric referencing UAV; pushbroom hyperspectral imager; geometric referencing
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MDPI and ACS Style

Zhang, H.; Zhang, B.; Wei, Z.; Wang, C.; Huang, Q. Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System. Remote Sens. 2020, 12, 657.

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