The invention provides a cloud control
aerial image photogrammetry method for
LiDAR point cloud data. The method comprises the steps that firstly, GPS / POS auxiliary aerial
triangulation is conducted on an image, initial camera
distortion and image orientation parameters are calculated, and meanwhile sparse feature
point cloud and image three-dimensional feature lines are generated; secondly, rigidregistration is performed on the
LiDAR point cloud and the image sparse feature point cloud through ICP and ICL algorithms,
rigid transformation parameters of the sparse feature point cloud relativeto the
LiDAR point cloud are calculated, and exterior orientation elements of the image are updated by using the
rigid transformation parameters; and finally, regional network adjustment is carried out under the constraint of
LiDAR point cloud control information, and image orientation parameters are optimized. Rigid registration and LiDAR constrained regional network adjustment are repeatedly iterated until the variation of the error in image orientation meets a preset threshold value. According to the method, large-proportion high-precision geometric orientation of the
aerial image under thecondition of no field
control point is realized by taking the
LiDAR point cloud as a geometric reference without dependence on the field
control point, and the efficiency of image
photogrammetry processing in the information era is greatly improved.