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

doi:10.3390/rs13050989

	Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes
	Yan, Feihu 1; Xia, Enyong 1; Li, Zhaoxin 2; Zhou, Zhong 1
刊名	REMOTE SENSING
	2021-03-01
卷号	13 期号:5 页码:23
关键词	UAV path planning 3D reconstruction urban scene
DOI	10.3390/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
出版者	MDPI
WOS记录号	WOS:000628505700001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/16799]
专题	中国科学院计算技术研究所
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.