报告题目:Adaptive Segmentation of LiDAR Data with Varying Point Density
报告专家:Ayman Habib,PhD, PEng
Professor and Head
Department of Geomatics Engineering
University of Calgary,Canada
报告时间:12月19日(周一)下午3:00
报告地点:遥感学院附三2楼多功能报告厅
Abstract
Collected point cloud by airborne and terrestrial laser scanning systems proved to be valuable for several applications such as topographic mapping, 3D city modeling, and documentation of historical sites. In order to take advantage of this data, efficient data processing techniques should be adopted. One of characteristics that make this processing challenging is the varying point density within and among the datasets. This talk will provide a new approach for LiDAR data segmentation that considers variation in the LiDAR point density. Experimental results from airborne and terrestrial laser scanning systems will be presented to illustrate the feasibility and the performance of the developed procedure.