Point cloud filtering algorithm based on windowing and terrain slope in densely-vegetated area

doi:10.13474/j.cnki.11-2246.2021.0236

Abstract

Abstract: The three-dimensional laser scanner obtains the point cloud data of the classic landform, which needs to be filtered to remove the ground vegetation. Because the point cloud is dense or occluded in densely-vegetated areas, the ground points are very few, and the terrain surface cannot be fitted. This part of the vegetation points is difficult to remove. Aiming at the characteristics of the point cloud data of densely-vegetated areas, this paper proposes a point cloud filtering algorithm for densely-vegetated areas based on windowing and terrain slope. It is considered that the higher point of the two adjacent points of the elevation difference caused by non-terrain slope is non-ground point. The test results show that this algorithm can well remove low vegetation points in densely-vegetated areas, retain real ground points, and improve the processing accuracy of point cloud filtering in densely-vegetated areas.

Key words: 3D laser scanning, point cloud processing, densely-vegetated areas, filtering algorithm, windowing, terrain slope

CLC Number:

P234.5

MA Tao, YANG Xiaoming, YAN Yueguan, YAN Dongchuan. Point cloud filtering algorithm based on windowing and terrain slope in densely-vegetated area[J]. Bulletin of Surveying and Mapping, 2021, 0(8): 33-36.

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