Automatic Break Line Extraction from Airborne LiDAR Point Cloud Using Topographic Openness

doi:10.13474/j.cnki.11-2246.2018.0112

Abstract

Abstract:

In order to produce high quality digital elevation model (DEM) based on airborne lidar (LiDAR) point cloud,break lines need to be used as constraints.Aiming at the fact that error rate of break line extraction is relatively high because of existing algorithms only consider the local variation of the earth's surface,topographic openness,starting from the manual interpretation point of view,is applied as a new operator to extract breaklines.Firstly,the original ground points are sampled into the distance images.And then the main structure changes of the earth surface are extracted by topographic openness.Finally,the seed points of the break lines are extracted by morphological operators and edge extraction operators,and the vector of the broken lines is tracked.The experimental results show that the algorithm can quickly extract complete break lines without manual intervention.

Key words: LiDAR, DEM, point cloud, break line, topographic openness

CLC Number:

ZHANG Liang, ZHANG Fan, JIANG Xiaoqi, ZHOU Jiawen, WANG Jiedong. Automatic Break Line Extraction from Airborne LiDAR Point Cloud Using Topographic Openness[J]. 测绘通报, 2018, 0(4): 68-72.

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