一种基于虚拟网格与角度限制的LiDAR点云迭代滤波算法

Filtering of airborne LiDAR data based on pseudo-grid and angle-limited algorithm

在分析现有算法优劣的基础上,提出一种基于虚拟网格与角度限制的LiDAR点云迭代滤波算法。采用虚拟网格来组织原始点云数据,选取初始种子点,通过角度限制法则迭代加密种子点,最终获取地形点。通过选取3组不同类型地形表面的测区点云数据进行实验,验证算法的实用性和有效性。

Due to the strengths and weaknesses of the existing filtering methods, a fitting algorithm which is based on pseudo-grid and angle-limited principle is presented for filtering of airborne LiDAR data. Firstly, an initial seed-point is generated from the pseudo-grid model, then the seed-points are becoming thickening through an iterative process based the angle-limited principle. Finally, the experimental results show that the filtering method can effectively and reliably derive ground points from LiDAR data in complex areas.