Surface-Based Registration of Airborne and Terrestrial Mobile LiDAR Point Clouds

摘要: Light Detection and Ranging (LiDAR) is an active sensor that can effectively acquire a large number of three-dimensional (3-D) points. LiDAR systems be equipped on different platforms for applications, but to integrate the data, point cloud registration needed improve geometric consistency. The airborne terrestrial mobile challenging task because densities scanning directions differ. We proposed scheme using least squares 3-D surface technique minimize surfaces between two datasets. To analyze effect density in registration, simulation data simulated conditions estimated theoretical errors. test were clouds system (ALS) (MLS), which acquired by Optech ALTM 3070 Lynx, respectively. resulting analysis indicated accuracy improved as increased. For dataset, error trajectories from 40 cm 4 cm, ALS MLS 84 cm. These results indicate methods obtain 5 MLS.