International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 211–214, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-211-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 211–214, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-211-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

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

C. L. Kang1,2, M. M. Zong1,2, Y. Cheng1,2, F. Wang1,2, T. N. Lu1,2, and G. Z. Liu2 C. L. Kang et al.
  • 1Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China
  • 2College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China

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.