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Analysis of different methods for 3D reconstruction of natural surfaces from parallel-axes UAV images / Annette Eltner in Photogrammetric record, vol 30 n° 151 (September - November 2015)  

Public [article]  inPhotogrammetric record > vol 30 n° 151 (September - November 2015) . - pp 279 – 299 Titre : Analysis of different methods for 3D reconstruction of natural surfaces from parallel-axes UAV images Type de document : Article/Communication Auteurs : Annette Eltner, Auteur ; Danilo Schneider, Auteur Année de publication : 2015 Article en page(s) : pp 279 – 299 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse comparative [Termes IGN] appariement dense [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] drone [Termes IGN] erreur systématique [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image à haute résolution [Termes IGN] image aérienne [Termes IGN] modèle numérique de surface [Termes IGN] point d'appui [Termes IGN] structure-from-motion [Termes IGN] télémétrie laser terrestre Résumé : (Auteur) Recent advances in structure from motion (SfM) and dense matching algorithms enable surface reconstruction from unmanned aerial vehicle (UAV) images with high spatial resolution, allowing for new insights into earth surface processes. However, accuracy issues are inherent in parallel-axes UAV image configurations. In this study, the quality of digital elevation models (DEMs) is assessed using images from a simulated UAV flight. Five different SfM tools and three different cameras are compared. If ground control points (GCPs) are not integrated into the adjustment process with parallel-axes image configurations, significant dome-effect systematic errors are observed, which can be reduced based on calibration parameters retrieved from a testfield captured with convergent images immediately before or after the UAV flight. A comparison between DEMs of a soil surface generated from UAV images and terrestrial laser-scanning data show that natural surfaces can be very accurately reconstructed from UAV images, even when GCPs are missing and simple geometric camera models are considered. Numéro de notice : A2015-563 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12115 Date de publication en ligne : 15/09/2015 En ligne : https://doi.org/10.1111/phor.12115 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77680 [article]

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106-2015031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model / Alessandra A. Sima in Photogrammetric record, vol 29 n° 145 (March - May 2014)  

Public [article]  inPhotogrammetric record > vol 29 n° 145 (March - May 2014) . - pp 10 - 29 Titre : Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model Type de document : Article/Communication Auteurs : Alessandra A. Sima, Auteur ; Simon J. Buckley, Auteur ; Tobias H. Kurz, Auteur ; Danilo Schneider, Auteur Année de publication : 2014 Article en page(s) : pp 10 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] compensation par faisceaux [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image hyperspectrale [Termes IGN] image panoramique [Termes IGN] image terrestre [Termes IGN] orientation externe [Termes IGN] points homologues [Termes IGN] SIFT (algorithme) [Termes IGN] superposition d'images Résumé : (Auteur) Diverse applications can benefit from the integration of data acquired by a new generation of close-range imaging sensors with high-resolution three-dimensional (3D) geometric data. However, such integration requires increased automation and efficiency of image-data registration to guarantee adoption by users beyond the geomatics community. This paper presents a semi-automated method for registering terrestrial panoramic hyperspectral imagery with lidar models and conventional digital photography. The method relies on finding corresponding points between images acquired in significantly different parts of the electromagnetic spectrum, from different viewpoints, and with different spatial resolution and geometric projections. Optimisation of the scale invariant feature transform (SIFT) operator was required to ensure a sufficient number of homologous points, as well as a routine for eliminating false matches. A band selection routine maximises the number of points found while minimising the input data for SIFT. Three-dimensional object coordinates were derived in the lidar model and used as control points in a bundle block adjustment to determine the hyperspectral exterior orientation and intrinsic camera parameters. The method developed was applied to two datasets with different characteristics, and the results indicate that the proposed method is a time-saving alternative to manual approaches. Numéro de notice : A2014-153 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12049 Date de publication en ligne : 13/02/2014 En ligne : https://doi.org/10.1111/phor.12049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33058 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2014011	RAB	Revue	Centre de documentation	En réserve L003	Disponible