A Parametric Model for Automatic 3D Building Reconstruction from high resolution Satellite ImagesReport as inadecuate




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1 ARIANA - Inverse problems in earth monitoring CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes

Abstract : This report develops a parametric model for automatic 3D building reconstruction based on a Bayesian approach from PLEIADES simulations. High resolution satellite images are a new kind of data to deal with 3D building reconstruction problems. Their ``relatively low- resolution and low signal noise ration do not allow to use standard methods developed for the aerial image case. We propose a parametric approach using Digital Elevation Models DEM and associated rectangular building footprints. The proposed method is based on a Bayesian approach. A Markov Chain Monte Carlo technique is used to optimize the energy model.

Keywords : 3D BUILDING RECONSTRUCTION BAYESIAN APPROACH MARKOV CHAIN MONTE CARLO PARAMETRIC MODEL





Author: Florent Lafarge - Xavier Descombes - Josiane Zerubia - Marc Pierrot-Deseilligny -

Source: https://hal.archives-ouvertes.fr/



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