Graph-matching model using Gibbsian modeling: application to map/SPOT image road networks for map updating

Xavier Descombes; Christine Hivernat; Sabine Randriamasy; Josiane B. Zerubia

doi:10.1117/12.351309

25 June 1999 Graph-matching model using Gibbsian modeling: application to map/SPOT image road networks for map updating

Xavier Descombes, Christine Hivernat, Sabine Randriamasy, Josiane B. Zerubia

Proceedings Volume 3816, Mathematical Modeling, Bayesian Estimation, and Inverse Problems; (1999) https://doi.org/10.1117/12.351309
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We consider herein the matching between two graphs representing road networks. This problem is embedded into a labeling framework. One graph is taken as a reference. A Gibbsian model is proposed to label the other graph. The labels are defined by the noes of the second graph. The potentials are defined by the angle between the nodes and the length of the associated features. Therefore, the model is invariant by translation and rotation. We apply this model to match a road network extracted from a SPOT image on the road network of a cartographic database. This matching provides some information for map updating.

Citation Download Citation

Xavier Descombes, Christine Hivernat, Sabine Randriamasy, and Josiane B. Zerubia "Graph-matching model using Gibbsian modeling: application to map/SPOT image road networks for map updating", Proc. SPIE 3816, Mathematical Modeling, Bayesian Estimation, and Inverse Problems, (25 June 1999); https://doi.org/10.1117/12.351309

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