Abstract:

In the geo-location method based on common points in multiple aerial images, the computa- tional efficiency of the simultaneous least square estimate used to reckon the corrections of aerial camera parameters and ground point coordinates degrades rapidly with the increase of the number of common points. To solve this problem, a novel algorithm is presented to separately estimate the corrections of camera parameters and ground point coordinates by considering the feature that the coefficient matrices of the corrections of camera parameters and ground point coordinates are independent. It is theoretically based on the separate least square estimation, and calculates the corrections of camera parameters and ground point coordinates in every iteration step alternately. In the iteration procedure, the coefficient ma- trices are parted to decrease their dimension numbers. Such partition improves the efficiency of correction computation. Simulation results show that the separate algorithm has higher computational efficiency than the present simultaneous algorithm, without degrading the precision of the corrections.

Key words: photogrammetry and remote sensing, camera parameter, ground point coordinate, correc- tion, separate least square