Hierarchical search for image matching

The problem of matching two images of the same scene produced by different sensors under different viewing conditions is important in many applications. A hierarchical method which is logarithmetically efficient is presented in this paper. Experimental results are presented for matching an image region corrupted by noise and for matching images from optical and radar sensors. The significance of this approach is that scene matching can be accomplished even in cases which are difficult for humans or standard correlation techniques and may be accomplished with greatly reduced computations.