An algorithm for automated registration of maps and images based on feature detection and mutual information
Xiaofeng Fan, Harvey E. Rhody, Eli S. Saber · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
Registration of maps and airborne or satellite images is an important problem for tasks such as map updating and change detection. This is a difficult problem because map features such as roads and buildings may be mis-located and features extracted from images may not correspond to map features. Nonetheless, it is possible to obtain a general global registration of maps and images by applying statistical techniques to map and image features. Finer analysis can then be used to find changes and local mismatches. The Maximization of Mutual Information (MMI) technique has proven to be very robust in image-to-image registration. This paper extends the MMI technique to the map-to-image registration problem through a focus-of-attention mechanism that forces MMI to utilize correspondences that have a high probability of being information rich. The number of registration parameters can be adjusted to meet the characteristics of the matching problem and accuracy requirements of the application. Experimental results demonstrate the robustness and efficiency of the algorithm.