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Auteur Liang-Chien Chen |
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Progressive registration of image features and 3D vector lines for orientation modelling / Wen-Chi Chang in Photogrammetric record, vol 33 n° 161 (March 2018)
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Titre : Progressive registration of image features and 3D vector lines for orientation modelling Type de document : Article/Communication Auteurs : Wen-Chi Chang, Auteur ; Ching-Hui Hung, Auteur ; Liang-Chien Chen, Auteur Année de publication : 2018 Article en page(s) : pp 66 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] arc
[Termes IGN] élément d'orientation externe
[Termes IGN] ligne (géométrie)
[Termes IGN] superposition d'imagesRésumé : (Auteur) This paper proposes a progressive method to register image features and three‐dimensional (3D) vector lines for image orientation modelling. Directed at images acquired with an approximate direct‐georeferencing capability, this study employed 3D vector lines extracted from a geographical information system (GIS) database as ground control. The major work comprises three steps: (1) straight lines were parameterised and applied as control in the collinearity condition equations to determine exterior orientation parameters (EOPs); (2) coarse registration employed quadrangle features formed from straight lines to modify the initial EOPs; and (3) a two‐step fine registration, initially involving all line‐feature candidates, followed by the selection of the most probable one from neighbouring lines. Experimental results indicate that the proposed methods can achieve an accuracy of about 2 pixels (close to the accuracy of the employed GIS database) from initial EOPs with more than 800 pixel errors. Accuracy improvements in each step of the proposed coarse‐to‐fine registration are also demonstrated. Numéro de notice : A2018-220 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12227 Date de publication en ligne : 12/02/2018 En ligne : https://doi.org/10.1111/phor.12227 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90040
in Photogrammetric record > vol 33 n° 161 (March 2018) . - pp 66 - 85[article]