Dem Generation from Airborne Lidar Data

Airborne Lidar (light detection and ranging) sensors provide dense height information of large areas in an efficient manner. But for the production of digital elevation model (DEM) from the point cloud, the filtering of the point cloud should be carried out in order to remove points representing surface of non-ground objects. According to the deficiencies of slope based method, a novel filtering algorithm for Lidar data that combining range information and intensity information is presented in this paper. This method can improve precision and efficiency of filtering, and is very suitable for Lidar data of complex areas. Experiment results show that the proposed method can remove objects in complex areas effectively and rapidly. * Corresponding author. [email protected]