Structural matching for non-metric images

Image matching is a basic issue in computer vision and in digital photogrammetry. For non-metric images the area based and the feature based matching methods are not so suitable as for aerial images, because there is usually no initial values available. In this paper a structure based image matching method is introduced, which can recognize the corresponding image objects fully automatically without to know any a priori information and without to have any relation assumptions about the digital images. Some examples for the application of this matching method to the non-metric images in close range photogrammetry and to the SPOT and MOMS remote sensed images are demonstrated. The results show that the highest automation level of image matching have been reached with the developed method.