Application of airborne laser radar technology of UAV based on river embankment survey

Chengqi Xu; Juanjuan Zhang

doi:10.1117/12.3007456

30 August 2023 Application of airborne laser radar technology of UAV based on river embankment survey

Chengqi Xu, Juanjuan Zhang

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 1279716 (2023) https://doi.org/10.1117/12.3007456
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

The planning and design of river course, reclamation of wasteland and landscape transformation all need to be supported by accurate and detailed current data. As it involves the installation of water conservancy facilities and the laying of pipelines, the accuracy of elevation information is particularly important. In the past, it is time-consuming and laborious to collect cross section and topographic data in the whole field. The airborne laser radar of unmanned aerial vehicle has been applied in river embankment survey because of its high automation degree, short data production cycle, high precision and little weather influence. In order to obtain the digital elevation model data of the river embankment, this paper proposes to use the laser radar system of UAV to measure the river embankment. The plane accuracy, elevation accuracy and DEM accuracy of point cloud data are analyzed by combining with practical engineering cases, and the quality results of these three aspects are analyzed. The results show that the accuracy of the results can meet the requirements of relevant specifications, which provides an important reference for the application of airborne Lidar in river embankment survey.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chengqi Xu and Juanjuan Zhang "Application of airborne laser radar technology of UAV based on river embankment survey", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 1279716 (30 August 2023); https://doi.org/10.1117/12.3007456

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KEYWORDS

LIDAR

Point clouds

Error analysis

Unmanned aerial vehicles

Data acquisition

Data modeling

Data conversion

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