The high precise method that automatically rectifying and registering the multi-source remote sensing imagery which are from different sensors with different resolutions and taken from different times

is presented in this paper. First of all

the image to be registered is roughly rectified by using the polynomial model. Then

the feature points are extracted automatically

which are distributing evenly on the roughly rectified image. Guided by the extracted feature points

the common points to be used in automatic registration are obtained by using the pyramid-layered template matching technique. Finally

both the geo-refe-rencing image and the image to be precisely registered are divided into a number of triangular regions by constructing the Triangulated Irregular Network （TIN） on them

and the high precise rectification and registration can be fulfilled on each triangular region one by one.