倾斜摄影恢复的三维点云具有绝对地理坐标，但与激光雷达数据仍存在偏差。在

Tilt photography recovery of 3D point cloud has an absolute geographical coordinates, but lidar data is still there is a deviation. Were selected significant features of the same name manual registration feature points, such as roofs, roads and the like at the intersection point cloud from an oblique photography and laser radar data in each survey area. After registration point cloud, within the error range of 0.2M to control, you can meet the requirements of individual tree parameter extraction.

The three-dimensional point cloud recovered by tilt photography has absolute geographic coordinates, but still deviates from lidar data. In each measuring area, multiple locations of the same name are selected from the oblique photo point cloud and lidar data for manual registration, such as roofs, road intersections, etc. After the point cloud registration, the error range is controlled to 0.2m, which can meet the requirements of single-wood parameter extraction.

The three-dimensional point cloud recovered by tilt photography has absolute geographical coordinates, but it still deviates from lidar data. In each survey area, several identical ground objects with obvious characteristics are selected from the tilt camera point cloud and lidar data for manual registration, such as roof, road intersection, etc. After point cloud registration, the error range is controlled within 0.2m, which can meet the requirements of single wood parameter extraction.