2020
DOI: 10.3390/rs12040657
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Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System

Abstract: 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… Show more

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Cited by 12 publications
(5 citation statements)
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References 28 publications
(41 reference statements)
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“…Rapid developments of light unmanned aerial vehicles (UAVs), small hyperspectral imagers, and related instruments have facilitated the translation of UAV hyperspectral imaging system concepts into reality [1]. Hyperspectral imaging remote sensing technologies based on light UAVs are a combination of UAV, imaging spectrum, and remote sensing technologies, which possess unique advantages with regard to temporal, spatial, and spectral resolution [2].…”
Section: Introductionmentioning
confidence: 99%
“…Rapid developments of light unmanned aerial vehicles (UAVs), small hyperspectral imagers, and related instruments have facilitated the translation of UAV hyperspectral imaging system concepts into reality [1]. Hyperspectral imaging remote sensing technologies based on light UAVs are a combination of UAV, imaging spectrum, and remote sensing technologies, which possess unique advantages with regard to temporal, spatial, and spectral resolution [2].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, it is worthwhile to continue with an experimental approach by applying climbing chalk on unclimbed rock and study its in situ impact on rock‐dwelling species (besides bryophytes and ferns, also including lichens and flowering plants) on different rock types. Finally, recent advances in drone and imaging technology may allow for mapping and analyzing visible climbing chalk traces and vegetation health along climbing routes with hyperspectral imaging by means of unmanned aerial vehicles (Peng et al., 2020; Strumia, Buonanno, Aronne, Santo, & Santangelo, 2020; Zhang, Zhang, Wei, Wang, & Huang, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…In the Split stage, For any given feature mapping , two transformations and are first performed when the kernel size is 3 and 5, respectively. In the fusion phase, the results of multiple branches are first fused by elementwise summation: (6) The global average pooling is followed by the use of a low-dimensional fully connected layer to reduce the size of the feature output: (7) In the selection stage, the softmax activation function is used to obtain the following two weights:…”
Section: Skattentionmentioning
confidence: 99%
“…Wang et al [6] proposed an improved small object detection algorithm EMT-ECoTNet based on YOLOv7-w6 to solve the problem of low detection accuracy due to complex backgrounds and small object features in UAV aerial images, which improved the convergence speed and accuracy. rate; Zhang et al [7] proposed a lightweight object detection algorithm LUSS-YOLO based on YOLOv5 to adapt to the problem of high false detection rate and missed detection rate of small objects in UAV remote sensing images. Remote sensing object detection.…”
Section: Introductionmentioning
confidence: 99%