The basic scene matching problem consists of locating a region of an image with the corresponding region of another view of the same scene. In the general case, the images are produced by completely different sensors at different viewing geometries. Prior to the scene matching, geometric and intensity transformations were performed on the images to bring the matching elements and their intensity into one-to-one correspondence. Objects of interest as represented by subimages of one scene were located in the other using scene matching techniques with edges and invariant moments as measurement features. Operating characteristics of the two matching methods were then presented in terms of the probability of a match as a function of the probability of false fix.