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15 November 2023 Accuracy comparison and analysis of interpolation methods in DEM generation with 3D laser point cloud data
Xingguo Gao, Zengliang Chang, Chao Ma, Meng Qu, Shengkai Zhang, Feng Xiao
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Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128150C (2023) https://doi.org/10.1117/12.3010326
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
Digital elevation model (DEM) is the core of geographic database and the basis of terrain analysis. Airborne LiDAR is widely applied in DEM research as it can quickly obtain the three-dimensional coordinates of the surface with high resolution and precision. Interpolation method is one of the important factors affecting the accuracy of DEM. This study explored the accuracy of different interpolation algorithms in DEM construction with consideration of different terrain complexity and laser point cloud data density. The results show that the density of point cloud data has lower impact on interpolation accuracy in low slope region than in rough region. The DEM accuracy in rough region is reduced seriously when the point cloud data extraction rate exceeds 10%. The accuracy of different interpolation methods is close in low slope area, while in rough area, different interpolation methods vary a bit large in DEM accuracy, and the Kriging method shows the best performance.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Xingguo Gao, Zengliang Chang, Chao Ma, Meng Qu, Shengkai Zhang, and Feng Xiao "Accuracy comparison and analysis of interpolation methods in DEM generation with 3D laser point cloud data", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128150C (15 November 2023); https://doi.org/10.1117/12.3010326
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KEYWORDS
Interpolation
Point clouds
LIDAR
Data modeling
Data storage
Reflection
Statistical analysis
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