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Modélisation 3D de scènes urbaines à partir d'images satellitaires à très haute résolution

Nesrine Chehata-2005-06-21-SPIRE - Sciences Po Institutional REpository

TL;DRAbstract

This research work is a part of a global project related to urban scene modeling from high resolution satellite images with focus on building reconstruction. This work has been carried out as a collaboration among the IGN (French National Geographical Institute), the CNES (The French National Space Center) and the University of Paris 5. <br />The input data consist of a panchromatic stereo pair of satellite images, with a submetric resolution of 50-70 cm and a low Base to Height ratio B/H [0.05 - 0.2].<br />Since a detailed extraction and description of building rooves is complex in a satellital context, we propose to describe the scene by means of a 3D surface which provides either raster or vector information and thus different description levels. <br />A "Hypothesis-and-verify" strategy is used. 3D-primitives are extracted from images. Two complementary approaches are proposed which are based on 3D-segments for the first one and on region matching for 3D-facets estimation.<br />The

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This research work is a part of a global project related to urban scene modeling from high resolution satellite images with focus on building reconstruction. This work has been carried out as a collaboration among the IGN (French National Geographical Institute), the CNES (The French National Space Center) and the University of Paris 5. <br />The input data consist of a panchromatic stereo pair of satellite images, with a submetric resolution of 50-70 cm and a low Base to Height ratio B/H [0.05 - 0.2].<br />Since a detailed extraction and description of building rooves is complex in a satellital context, we propose to describe the scene by means of a 3D surface which provides either raster or vector information and thus different description levels. <br />A "Hypothesis-and-verify" strategy is used. 3D-primitives are extracted from images. Two complementary approaches are proposed which are based on 3D-segments for the first one and on region matching for 3D-facets estimation.<br />The

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