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Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks / Dimitri Bolatov in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 157 - 170 Titre : Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks Type de document : Article/Communication Auteurs : Dimitri Bolatov, Auteur ; Gisela Häufel, Auteur ; Jochen Meidow, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 157 - 170 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] détail topographique [Termes IGN] reconstruction 3D [Termes IGN] reconstruction 3D du bâti [Termes IGN] surface (géométrie) [Termes IGN] texturage Résumé : (Auteur) Highly detailed 3D urban terrain models are the base for quick response tasks with indispensable human participation, e.g., disaster management. Thus, it is important to automate and accelerate the process of urban terrain modeling from sensor data such that the resulting 3D model is semantic, compact, recognizable, and easily usable for training and simulation purposes. To provide essential geometric attributes, buildings and trees must be identified among elevated objects in digital surface models. After building ground-plan estimation and roof details analysis, images from oblique airborne imagery are used to cover building faces with up-to-date texture thus achieving a better recognizability of the model. The three steps of the texturing procedure are sensor pose estimation, assessment of polygons projected into the images, and texture synthesis. Free geographic data, providing additional information about streets, forest areas, and other topographic object types, suppress false alarms and enrich the reconstruction results. Numéro de notice : A2014-334 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.02.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.02.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73701 [article]

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