Filtering of Airborne LiDAR Data for Cityscapes Based on Segmentation

Abstract

For the purpose of obtaining high precision DEM,this paper proposes a filtering algorithm of LiDAR data based on segmentation.Firstly,the data are divided into several segments and reliable seeds are selected according to edge detection,and then the ground is obtained by a certain growing rule.In order to test the filtering algorithms,the authors made experiments on several urban areas with different characteristics,and then analyzed the results qualitatively and quantitatively.The results show that the filtering method can effectively extract ground points from point cloud with high stability.