影像分类信息支持的LiDAR点云数据滤波方法研究

Filtering of LiDAR Point Clouds Data with Image Classification Information

分析了当前点云滤波算法和机载LiDAR数据获取的特点,提出了影像分类信息辅助的机载LiDAR点云自动分类滤波算法。通过对植被覆盖的山区和建筑物密集的城区点云数据进行滤波实验,获得了区域内点云数据的准确分类信息,验证了此算法的有效性。

We propose a new filtering method for LiDAR point clouds data with the support of image classification information after analyzing the difficulties of using the LiDAR point clouds data to make DEM and DTM and the current point cloud data filtering algorithm and airborne LiDAR data acquisition technology.Experiment on urban areas points cloud data is implemented,and the good results validate this new algorithm.