Filtering of LiDAR Based on Segmentation

In dealing with the problem that most current filtering algorithms excessively erode the bare earth at discontinuities or place with complex buildings,we present a new filtering algorithm based on segmentation.Firstly the original point cloud is segmented into many segments based on the continuity of terrain surface.Then,the ground point set is differed from non-ground point set using the way of establishing buffer area after gross error points remove by the number of segment.Finally,we get the filtering effect after several iterations.The experimental results show that this algorithm significantly improves the classification accuracy of ground points compared with other classical filters.This algorithm effectively preserves the ground information when filter kinds of object information.In addition comparing with the filtering effect of Terrascan software,the filtering effect of the proposed algorithm is better in removing vegetation and preserving the point in the edge of ground.