基于LiDAR点云数据的低矮植被分类方法

摘要

Based on the Li DAR point cloud data, the research on the method of low-level vegetation isolation in small area is carried out. The ground points and the low vegetation points are separated using the progressive cryptographic triangulation algorithm. The application of the algorithm is verified by analyzing the effect of adjusting the threshold on the separation effect. The result shows that the progressive cryptographic triangulation algorithm is suitable for flat areas with wide distribution of low vegetation but not suitable for mountainous areas and urban areas with large terrain fluctuations.%基于LiDAR点云数据进行小区域低矮植被分类方法的研究, 利用渐进加密三角网算法分离地面点与低矮植被点, 通过分析调整阈值对分离效果的影响验证该算法的适用程度.本文研究表明渐进加密三角网算法适用于低矮植被分布多的地势平坦地区, 不适用于地形起伏较大的山区与城市地区.