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Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings / Dongliang Wang in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 207 - 224 Titre : Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings Type de document : Article/Communication Auteurs : Dongliang Wang, Auteur ; Wei Cao, Auteur ; Xiaoping Xin, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 207 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] axe médian [Termes IGN] bâtiment [Termes IGN] données vectorielles [Termes IGN] géométrie vectorielle [Termes IGN] image aérienne [Termes IGN] mosaïquage d'images [Termes IGN] orthoimage [Termes IGN] orthophotoplan numérique Résumé : (Auteur) A novel seam detection approach based on vector building maps is presented for low-attitude aerial orthoimage mosaicking. The approach tracks the centerlines between vector buildings to generate the candidate seams that avoid crossing buildings existing in maps. The candidate seams are then refined by considering their surrounding pixels to minimize the visual transition between the images to be mosaicked. After the refinement of the candidate seams, the final seams further bypass most of the buildings that are not updated into vector maps. Finally, three groups of aerial imagery from different urban densities are employed to test the proposed approach. The experimental results illustrate the advantages of the proposed approach in avoiding the crossing of buildings. The computational efficiency of the proposed approach is also significantly higher than that of Dijkstra’s algorithm. Numéro de notice : A2017-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.015 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84326 [article]

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