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Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes

文献类型：期刊论文

作者Yan, Feihu1; Xia, Enyong1; Li, Zhaoxin2; Zhou, Zhong1
刊名REMOTE SENSING
出版日期2021-03-01
卷号13期号:5页码:23
关键词UAV path planning 3D reconstruction urban scene
DOI10.3390/rs13050989
英文摘要Unmanned aerial vehicles (UAVs) can capture high-quality aerial photos and have been widely used for large-scale urban 3D reconstruction. However, even with the help of commercial flight control software, it is still a challenging task for non-professional users to capture full-coverage aerial photos in complex urban environments, which normally leads to incomplete 3D reconstruction. In this paper, we propose a novel path planning method for the high-quality aerial 3D reconstruction of urban scenes. The proposed approach first captures aerial photos, following an initial path to generate a coarse 3D model as prior knowledge. Then, 3D viewpoints with constrained location and orientation are generated and evaluated, according to the completeness and accuracy of the corresponding visible regions of the prior model. Finally, an optimized path is produced by smoothly connecting the optimal viewpoints. We perform an extensive evaluation of our method on real and simulated data sets, in comparison with a state-of-the-art method. The experimental results indicate that the optimized trajectory generated by our method can lead to a significant boost in the performance of aerial 3D urban reconstruction.
资助项目National Key Research and Development Program of China[2018YFB2100601] ; National Natural Science Foundation of China[61872024] ; National Natural Science Foundation of China[61702482]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000628505700001
出版者MDPI
源URL[http://119.78.100.204/handle/2XEOYT63/16799]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhou, Zhong
作者单位1.Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Feihu,Xia, Enyong,Li, Zhaoxin,et al. Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes[J]. REMOTE SENSING,2021,13(5):23.
APA Yan, Feihu,Xia, Enyong,Li, Zhaoxin,&Zhou, Zhong.(2021).Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes.REMOTE SENSING,13(5),23.
MLA Yan, Feihu,et al."Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes".REMOTE SENSING 13.5(2021):23.

入库方式： OAI收割

来源：计算技术研究所

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