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Proceedings Paper

An algorithm for automated registration of maps and images based on feature detection and mutual information
Author(s): Xiaofeng Fan; Harvey Rhody; Eli Saber
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Paper Abstract

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.

Paper Details

Date Published: 26 February 2008
PDF: 7 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 68130F (26 February 2008); doi: 10.1117/12.766044
Show Author Affiliations
Xiaofeng Fan, Rochester Institute of Technology (United States)
Harvey Rhody, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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