A novel two-steps strategy for automatic GIS-image registration

In this paper, we propose a registration method between GIS data and high-resolution satellite images of urban scenes. Our approach consists of two steps: firstly, the urban straight main road features in images are extracted by combining their spectral information with a geometric constraint. Then, by exploiting the frequency spectrum property of linear stripe regions, we perform matching of the road layer of geographic information data and feature images using a new FFT-based algorithm. The significant advantage of the approach is its capability to match the rotated and scaled images robustly even when they have a large scale change or obvious geometric differences. Experimental results demonstrate the robustness and efficiency of the method.