An automatic building reconstruction method: a structural approach using high resolution satellite images

Florent Lafarge (1, 2) , Xavier Descombes (2) , Josiane Zerubia (2) , Marc Pierrot-Deseilligny (1)

1 MATIS - Méthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution
2 ARIANA - Inverse problems in earth monitoring

We present an automatic 3D city model of dense urban areas from high resolution satellite data. The proposed method is developed using a structural approach : we construct complex buildings by merging simple parametric models with rectangular ground footprint. To do so, an automatic building extraction method based on marked point processes is used to provide rectangular building footprints. A collection of 3D parametric models is defined in order to be fixed onto these building footprints. A Bayesian framework is then used : we search for the best configuration of models with respect to both a prior knowledge of models and their interactions, and a likelihood which fits the models to the Digital Elavation Model. A simulated annealing scheme allows to find the configuration which maximizes the posterior density of the Bayesian expression.

Mots clés: Building reconstruction; rectangle process; block assembling; satellite image

Domaines: Mathématique discrète [cs.DM]

Florent Lafarge, Xavier Descombes, Josiane Zerubia, Marc Pierrot-Deseilligny. An automatic building reconstruction method: a structural approach using high resolution satellite images. International Conference on Image Processing (ICIP), Nov 2006, Atlanta, United States. pp.1205 - 1208, ⟨10.1109/ICIP.2006.312541⟩. ⟨hal-00814975⟩