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Auteur T. Ke |
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Precise orthoimage generation of Dunhuang wall painting / Y. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 6 (June 2011)
[article]
Titre : Precise orthoimage generation of Dunhuang wall painting Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; Z. Zhang, Auteur ; M. Sun, Auteur ; T. Ke, Auteur Année de publication : 2011 Article en page(s) : pp 631 - 640 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] acquisition d'images
[Termes IGN] appariement d'images
[Termes IGN] compensation par faisceaux
[Termes IGN] diagramme de Voronoï
[Termes IGN] grotte
[Termes IGN] Kansou (Chine)
[Termes IGN] orientation relative
[Termes IGN] orthoimage couleur
[Termes IGN] peinture
[Termes IGN] photogrammétrie terrestre
[Termes IGN] précision millimétriqueRésumé : (Auteur) Wall painting plays an important role in the culture relics of the Mogao Caves in Dunhuang, P.R. China. A novel approach of generating a high-resolution orthoimage of the wall painting is proposed. Since the photographic object is nearly flat and also the forward overlap between adjacent images is smaller than 60 percent, the main difficulty to be resolved is the high correlation problem among the unknowns. Improved models of relative orientation and bundle adjustment with virtual constraints have been developed to resolve the high correlation problem. A Voronoi diagram of projective footprints is applied to automatically determine the mosaic lines of ortho-rectified images. The color quality of the generated orthoimage is improved through global minimization of the color differences among overlapped images. The experimental results show that the proposed approach has great potential for conservation of wall paintings with sub-millimeter to millimeter precision. Numéro de notice : A2011-257 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.6.631 En ligne : https://doi.org/10.14358/PERS.77.6.631 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31035
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 6 (June 2011) . - pp 631 - 640[article]