Self-calibration of exterior orientation parameters of aerial digital images based on airborne LiDAR point clouds

In order to study high precise orientation of the aerial digital images, the geographical relationship model was derived with aerial digital images and virtual ground control points from airborne LiDAR point clouds. Both the self-calibration geographical model and error equations were built based on the principle thatall corresponding image rays intersect with one ground point which was captured on multi images. The high precise orientation data of aerial images was obtained by solving the algorithm equation. The results show that the effect of self-calibration of exterior orientation parameters without ground control points is achieved.