Unmanned aerial vehicle (UAV) technology has been applied for three-dimensional (3D) modeling of soil and water conservation structures and their surrounding environments in numerous regions. This study employed both ground and aerial mobile mapping technologies to execute 3D modeling of these structures and analyzed the resulting point cloud fusion model. A ground-based viDoc real-time kinematic LiDAR system and SfM-UAV technology were used to acquire point cloud models, and a seven-parameter coordinate transformation method was applied for model fusion. The human error after coordinate transformation was 0.068 m, and the model constructed with viDoc aligned perfectly with actual measurements. Furthermore, the absolute analysis of the fused model yielded an error of 0.152 m. These findings demonstrate that the seven-parameter coordinate transformation method effectively integrated the UAV and viDoc models to successfully combine aerial and ground data. This method can be more broadly applied in the inspection and mapping of soil and water conservation structures in the future.
Key Words: viDoc RTK Rover, unmanned aerial vehicle (UAV), coordinate transformation, point cloud model.