Point Density and the Challenge in Processing Multi-source Lidar Data

摘要

Over the past few years, Lidar systems have become established as a leading technology for rapid collection of high density 3D point cloud. The advent of these systems has reduced the cost and increased the availability of accurate 3D data for diverse applications such as terrain mapping, environmental monitoring, transportation planning, emergency response, 3D city modelling, heritage documentation and forest mapping. In order to meet the needs of these applications, collected point cloud should be processed to extract useful information.