Because of the uncertainty of imaging

large scales

and rotation difference between the match data

the traditional intensity-based matching methods are not meeting our demands. For the complexity of the remote sensing data

we developed an image matching method based on the features of the structure characteristics

combined with the excellent properties of invariant moments. At first

we are extracting image linear characteristics based on RANSAC (random sample consensus) and further extracting the structure feature. Next

we are getting the optimal matching by the invariant moment and space correlation

realizing the initial image matching. Finally

using relaxation matching method

we realize the global image matching. Experimental results show that this method is not affected by rotation

and zooming factors and it can realize an automatic and quick remote sensing image matching.