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Automatic relative orientation of large scale imagery over urban areas using modified Iterated Hough transform / A. Habib in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 1 (May - June 2001) . - pp 29 - 41 Titre : Automatic relative orientation of large scale imagery over urban areas using modified Iterated Hough transform Type de document : Article/Communication Auteurs : A. Habib, Auteur ; D. Kelley, Auteur Année de publication : 2001 Article en page(s) : pp 29 - 41 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement de formes [Termes IGN] couple stéréoscopique [Termes IGN] estimation statistique [Termes IGN] méthode robuste [Termes IGN] milieu urbain [Termes IGN] objet géographique linéaire [Termes IGN] orientation automatique [Termes IGN] orientation relative [Termes IGN] photographie à grande échelle [Termes IGN] primitive géométrique [Termes IGN] transformation de Hough Résumé : (Auteur) The automation of relative orientation (RO) has been the major focus of the photogrammetric research community in the last decade. Despite the reported progress, there is no reliable (robust) approach that can perform automatic relative orientation (ARO) using large-scale imagery over urban areas. A reliable and general method for solving matching problems in various photogrammetric activities has been developed at The Ohio State University. This approach has been used to solve single photo resection using free-form linear features, surface matching and relative orientation. The approach estimates the parameters of a mathematical model relating the entities of two data sets when the correspondence of the involved entities is unknown. When applied to relative orientation, the co planarity model is used to relate extracted edge pixels and/or feature points from a stereo-pair. In its execution, the relative orientation parameters are solved sequentially, using the co planarity model to evaluate all possible pairings of the input primitives and choosing the most probable solution. As a result of this technique, the matched entities that correspond to the parameter solution are implicitly determined. Experiments using real data conclude that this is a robust method for relative orientation for both urban and rural scenes. Copyright ISPRS Numéro de notice : A2001-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00032-6 En ligne : https://doi.org/10.1016/S0924-2716(01)00032-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21912 [article]

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