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True orthophoto generation based on unmanned aerial vehicle images using reconstructed edge points / Mojdeh Ebrahimikia in Photogrammetric record, vol 37 n° 178 (June 2022)  

Public [article]  inPhotogrammetric record > vol 37 n° 178 (June 2022) . - pp 161 - 184 Titre : True orthophoto generation based on unmanned aerial vehicle images using reconstructed edge points Type de document : Article/Communication Auteurs : Mojdeh Ebrahimikia, Auteur ; Ali Hosseininaveh, Auteur Année de publication : 2022 Article en page(s) : pp 161 - 184 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie [Termes IGN] apprentissage profond [Termes IGN] détection de contours [Termes IGN] détection du bâti [Termes IGN] distorsion d'image [Termes IGN] graphe [Termes IGN] image captée par drone [Termes IGN] modèle numérique de surface [Termes IGN] orthophotographie [Termes IGN] orthophotoplan numérique [Termes IGN] photogrammétrie aérienne [Termes IGN] pixel de contour [Termes IGN] semis de points [Termes IGN] structure-from-motion [Termes IGN] zone urbaine Résumé : (auteur) After considering state-of-the-art algorithms, this paper presents a novel method for generating true orthophotos from unmanned aerial vehicle (UAV) images of urban areas. The procedure consists of four steps: 2D edge detection in building regions, 3D edge graph generation, digital surface model (DSM) modification and, finally, true orthophoto and orthomosaic generation. The main contribution of this paper is concerned with the first two steps, in which deep-learning approaches are used to identify the structural edges of the buildings and the estimated 3D edge points are added to the point cloud for DSM modification. Running the proposed method as well as four state-of-the-art methods on two different datasets demonstrates that the proposed method outperforms the existing orthophoto improvement methods by up to 50% in the first dataset and by 70% in the second dataset by reducing true orthophoto distortion in the structured edges of the buildings. Numéro de notice : A2022-517 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12409 Date de publication en ligne : 05/04/2022 En ligne : https://doi.org/10.1111/phor.12409 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101065 [article]

Extracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach / Franck Jung (2003)    

Public contenu dans Proceedings of the ISPRS conference IC II/IV, WG III/4, III/5, III/6 Photogrammetric image analysis, 17-19 September, 2003, Munich, Germany / Heinrich Ebner (2003)   Titre : Extracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach Type de document : Article/Communication Auteurs : Franck Jung , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2003 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8 Conférence : PIA 2003, ISPRS Conference on Photogrammetric image analysis 17/09/2003 19/09/2003 Munich Allemagne OA ISPRS Archives Importance : 5 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] appariement de lignes [Termes IGN] cohérence des données [Termes IGN] compensation par faisceaux [Termes IGN] détail topographique artificiel [Termes IGN] détection de contours [Termes IGN] méthode robuste [Termes IGN] modèle numérique de surface [Termes IGN] objet cartographique [Termes IGN] objet géographique zonal [Termes IGN] pixel de contour [Termes IGN] reconstruction 3D [Termes IGN] reconstruction d'objet [Termes IGN] zone urbaine Résumé : (Auteur) This paper describes a purely geometrical approach for matching and chaining edgels, i.e. contours points with their tangent direction, to reconstruct in a general way 3D rectilinear or curved surface boundaries from multiple calibrated images. Results show that the 3D reconstructed edgels are highly reliable and accurate, and correctly reproduce the 3D limits of very small image structures thus demonstrating the high resolving power of this technique and enabling a finer description and understanding of urban scenes. 3D Edgels are a key feature for reconstructing man-made objects. Practical examples of edgels reconstruction are given on various type ot 3D objects (roundabouts, zebra crossings, cars, classical and odd shape buildings, dormer Windows) in surveys at a ground pixel size of 25 cm. Practical examples of edgels integration within a surface reconstruction or 3D pattern recognition and object extraction processes are also provided. Indeed 3D edgels can be used as characteristic and constraining lines for the surface topography reconstruction and used to build the limits of cartographic objects thus ensuring a natural geometrical and topological coherence between Digital Surface Models and Digital Object Models. Numéro de notice : C2003-034 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXIV/3-W8/papers/pia03_s1p4.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64400

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en open access Extracting 3D free-form surface boundaries Adobe Acrobat PDF