The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W10
https://doi.org/10.5194/isprs-archives-XLII-3-W10-211-2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-211-2020
07 Feb 2020
 | 07 Feb 2020

RESEARCH ON CONSTRUCTING DEM WITH POINT CLOUD FILTERING ALGORITHM CONSIDERING SPECIAL TERRAIN

C. L. Kang, M. M. Zong, Y. Cheng, F. Wang, T. N. Lu, and G. Z. Liu

Keywords: DEM, Airborne Lidar, Delaunay, Kriging, Filtering algorithm

Abstract. With the development of airborne LiDAR, the use of LiDAR point cloud to construct DEM model is a hot topic in recent years. For the characteristics of time cloud filtering and poor validity, and the efficiency of non-ground point filtering is not high, the filtered point cloud has problems such as errors and leaks. This paper proposes a method of constructing DEM based on the point cloud filtering algorithm of airborne Lidar point cloud data considering special terrain. The experiment proves that the algorithm of this paper is effective for establishing DEM model, and the quality of DEM model is good.