Feature based Registration Between Terrestrial and Airborne Point Cloud Assisted by Topographic Maps

Abstract:

Coordinate transformation is the essence of registration between airborne and terrestrial LiDAR system. The traditional coordinate transformation needs to obtain several common points and calculate the model parameters by those points. However, common points are hard to select in terrestrial and airborne point cloud due to different platforms and discrete sample mode. Taking building profile features as objects, a features constraint registration method was proposed in this paper to achieve the registration between point clouds and topographic maps. First, the feature line and feature plane of building facades were obtained from airborne and terrestrial point cloud separately. After being projected to the horizontal, the plane transformational parameters were calculated according to the relationship between model parameters and feature parameters. Next, the vertical parameter were computed by slicing the top layer of point cloud and elevation of the control points. Finally, the method was verified by a case study in Shanghai Ocean Aquarium.