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Integrated image matching and segmentation for 3D surface reconstruction in urban areas / Lei Ye in Photogrammetric Engineering & Remote Sensing, PERS, Vol 84 n° 3 (March 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > Vol 84 n° 3 (March 2018) . - pp 135 - 148 Titre : Integrated image matching and segmentation for 3D surface reconstruction in urban areas Type de document : Article/Communication Auteurs : Lei Ye, Auteur ; Bo Wu, Auteur Année de publication : 2018 Article en page(s) : pp 135 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement d'images [Termes IGN] appariement dense [Termes IGN] détection de partie cachée [Termes IGN] mesure de similitude [Termes IGN] reconstruction 3D [Termes IGN] segmentation d'image [Termes IGN] semis de points [Termes IGN] zone urbaine Résumé : (Auteur) High-resolution imagery, which features the advantages of high-quality imaging, a short revisit time, and lower costs, is an attractive option for 3D reconstruction applications. Photogrammetric 3D reconstruction requires reliable and dense image matching. In urban areas, however, image matching is particularly difficult because of the complexity of urban textures and the severe occlusion problems caused by buildings. This paper presents an integrated image matching and segmentation approach (named SATM+) for 3D reconstruction in urban areas. SATM+ is based on our existing self-adaptive triangulation-constrained matching (SATM) framework and incorporates three novel aspects to address image matching challenges in urban areas: (1) image segmentation-based occlusion filtering, (2) segment-adaptive similarity measurement to reduce matching ambiguity, and (3) local and regional dense matching propagation to generate reliable and dense matches. We performed an experimental analysis of two sets of high-resolution urban images, and the 3D point clouds generated using the proposed SATM+ were compared with airborne light detection and ranging (lidar) data and the point clouds generated using the semi-global matching (SGM) method. The results indicate that SATM+ can generate 3D point clouds with a geometric accuracy comparable to that of lidar data but a much higher point density. SATM+ performs similarly to SGM in relatively flat areas, but is superior in built-up areas. The proposed approach is a promising option for image-based 3D surface reconstruction in urban areas. Numéro de notice : A2018-137 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.3.135 Date de publication en ligne : 01/03/2018 En ligne : https://doi.org/10.14358/PERS.84.3.135 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89679 [article]

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