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We propose two algorithms to match edges in a geometrically-imprecise graph to geometrically-precise strong boundaries in an image, where the graph is meant to give an a priori partition of the image into objects. This can be used to partition an image into objects described by imprecise external data, and thus to simplify the segmentation problem. We apply them to the problem of registering cadastre data to georeferenced aerial images, thus correcting the lack of geometrical detail of the cadastre data, and the fact that cadastre data gives information of a different nature than that found in images -- fiscal information as opposed to actual land use.
Remote sensing, registration, graph labeling, stochastic methods, cartography

M. Pierrot-Deseilligny, G. Stamon, R. Trias-Sanz and J. Louchet, "Methods for Fine Registration of Cadastre Graphs to Images," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 29, no. , pp. 1990-2000, 2007.
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