基于动态阈值的机载LiDAR点云滤波法

Airborne LiDAR Point Cloud Filtering Algorithm Based on Dynamic Threshold

为了提高地形起伏较大区域点云的滤波效果,提出了一种基于动态阈值获取点云的滤波算法。该算法分为两个阶段,初次滤波以获取更为准确的地面点为前提,二次滤波优化以初次滤波获取的地面点为基础,从而获取不同区域的高差阈值,根据这些阈值再对原始点云进行滤波。实验结果表明,相较于其他经典算法,所提算法能够获得更小的Ⅰ类误差和总误差,在滤除地物的同时能够有效地保留地形特征。

To improve the filtering effects of point clouds in abrupt terrains, a filtering algorithm is proposed based on dynamic thresholds. This algorithm can be divided into two stages. The first filtering aims at obtaining the more accurate ground points, while the second filtering aims at obtaining the elevation difference thresholds in different regions based on the ground points obtained by the first filtering. Subsequently the original point clouds are filtered according to the above thresholds. The experimental results show that the proposed algorithm can be used to obtain the smaller Type Ⅰ error and total error, comparing with the other classic algorithms. Moreover, this algorithm can be used to filter the ground objects and simultaneously protect the terrain details effectively.