Institute of Computing Technology, Chinese Academy IR
Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes | |
Yan, Feihu1; Xia, Enyong1; Li, Zhaoxin2; Zhou, Zhong1 | |
2021-03-01 | |
发表期刊 | REMOTE SENSING |
卷号 | 13期号:5页码:23 |
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. |
关键词 | UAV path planning 3D reconstruction urban scene |
DOI | 10.3390/rs13050989 |
收录类别 | SCI |
语种 | 英语 |
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 |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000628505700001 |
出版者 | MDPI |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/16800 |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论