The filtering method of airborne LiDAR point cloud for tidal flat DEM construction

doi:10.13474/j.cnki.11-2246.2023.0201

Abstract

Abstract: In the process of constructing DEM based on laser point cloud, point cloud filtering is very important to distinguish ground points and non-ground points. Considering the requirement of high-precision DEM construction based on airborne LiDAR point cloud for coastal tidal flat regions, the paper proposes an improved slope filtering algorithm of airborne LiDAR point cloud. Firstly, a statistical outlier removal (SOR) method is used to remove noise from the original airborne LiDAR point cloud data. Secondly, utilizing the slope and elevation threshold of regular grids, the slope filtering method of ground points is designed for tidal flat point cloud data. Lastly, actual airborne LiDAR point cloud of the tidal flat in Changsha portof Rudong city is selected as experimental data to carry out the construction of tidal flat DEM and its accuracy is test, so as to verify the proposed method of point cloud filtering. Experimental results show that the accuracy of DEM constructed by LiDAR point cloud by the proposed methodmeets could meet the requirements of national and industrial standards.

Key words: airborne LiDAR, tidal flat point cloud, point cloud filtering, DEM elevation accuracy

CLC Number:

P237

FENG Xiaoke, Lü Peixian, ZHANG Ka, SHEN Huakang, YE Longjie, ZHAO Na, YANG Ying. The filtering method of airborne LiDAR point cloud for tidal flat DEM construction[J]. Bulletin of Surveying and Mapping, 2023, 0(7): 58-62.

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