Paper
15 October 2021 Through the bamboo forest: application of UAV in a Linpan development project
Ruijue Wang, Qian Guo
Author Affiliations +
Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 1193325 (2021) https://doi.org/10.1117/12.2614982
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China
Abstract
Since 2017, the rural revitalization strategy has been one of China's seven significant strategies for comprehensively building a modern and powerful socialist country. It has brought new development ideas and a powerful force for the Chengdu area to achieve the five goals of reform and development in rural areas represented by Linpan in Sichuan Policy support. This Project takes the Yongxing Linpan development project as an example, and the Project aims to what application on the Linpan settlements revitalization by using unmanned aerial vehicles (UAV) looks like, in terms of the digital survey, the building information modeling (BIM) construction, site analysis, and planning effects rendering. Why do people use UAVs as digital survey vehicles? How could people create a landscape information model by combining point cloud data and BIM? Do point cloud data caught by UAVs enhance the effects of the planning? These questions go beyond the mere forms of the digital record and object visualization to provide a unique insight into the function of UAVs in Linpan development projects.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruijue Wang and Qian Guo "Through the bamboo forest: application of UAV in a Linpan development project", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 1193325 (15 October 2021); https://doi.org/10.1117/12.2614982
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KEYWORDS
Unmanned aerial vehicles

Data modeling

3D modeling

Clouds

Cameras

LIDAR

Photogrammetry

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