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Automatic illumination-invariant image-to-geometry registration in outdoor environments / Christian Kehl in Photogrammetric record, vol 32 n° 158 (June - july 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 158 (June - july 2017) . - pp 93 - 118 Titre : Automatic illumination-invariant image-to-geometry registration in outdoor environments Type de document : Article/Communication Auteurs : Christian Kehl, Auteur ; Simon J. Buckley, Auteur ; Sophie Viseur, Auteur ; Robert L. Gawthorpe, Auteur ; John Howell, Auteur Année de publication : 2017 Article en page(s) : pp 93 - 118 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] analyse comparative [Termes IGN] appariement automatique [Termes IGN] géométrie de l'image [Termes IGN] intensité lumineuse [Termes IGN] modèle numérique de surface [Termes IGN] point d'appui [Termes IGN] SIFT (algorithme) [Termes IGN] traitement d'image Résumé : (Auteur) Image-to-geometry registration is the basis of many applications for texturing and interpreting 3D surface models. Feature-based matching is an established, automatic approach which creates 2D–3D correspondences based on salient points and their radiometric neighbourhood. This paper presents an experimental approach for assessing the accuracy of several matching algorithms in challenging imaging environments that are subject to significant outdoor illumination variations. Furthermore, a collection of accuracy assessment metrics and quality heuristics emerge from the presented approach to guide a user during the examination of registration results. As a result of the experiments, two novel salient point descriptor matching combinations outperform the standard scale-invariant feature transform (SIFT) operator on the task of image-to-image and image-to-geometry registration under varying illumination conditions. Numéro de notice : A2017-361 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12188 En ligne : http://doi.org/10.1111/phor.12188 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85772 [article]

Integration of panoramic hyperspectral imaging with terrestrial lidar data / T. Kurz in Photogrammetric record, vol 26 n° 134 (June - August 2011)  

Public [article]  inPhotogrammetric record > vol 26 n° 134 (June - August 2011) . - pp 212 - 228 Titre : Integration of panoramic hyperspectral imaging with terrestrial lidar data Type de document : Article/Communication Auteurs : T. Kurz, Auteur ; S. Buckley, Auteur ; John Howell, Auteur Année de publication : 2011 Article en page(s) : pp 212 - 228 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] compensation par faisceaux [Termes IGN] conflation [Termes IGN] données lidar [Termes IGN] géologie locale [Termes IGN] image hyperspectrale [Termes IGN] image panoramique [Termes IGN] image terrestre [Termes IGN] orientation externe [Termes IGN] rayonnement infrarouge Résumé : (Auteur) In many close-range applications it is essential to obtain information about the geometry of the target surface as well as its chemical composition. In this study, close-range hyperspectral imaging was integrated with terrestrial laser scanning to provide mineral and chemical information for geological field studies. The spectral data was collected with the HySpex SWIR-320m sensor, which operates in the infrared spectrum between the wavelengths of 1·3 and 2·5 um. This sensor permits surfaces to be imaged with high spectral resolution, allowing detailed classification and analysis to be carried out. Photogrammetric processing of the hyperspectral imagery was achieved using an existing geometric model for rotating linear-array-based panoramic cameras. Bundle block adjustment of multiple images resulted in the registration of the spectral images in the lidar coordinate system, with a precision of around one image pixel. Although the image and control point network was not optimised for photogrammetric processing, it was possible to recover the exterior camera orientations, as well as additional camera calibration parameters. With the known image orientations, 3D lidar models could be textured with hyperspectral classifications, and the quality of the registration determined. The integration of the hyperspectral image products with the terrestrial lidar data enabled data interpretation and evaluation in a real-world coordinate system, and provided a reliable means of linking material and geometric information. Numéro de notice : A2011-241 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00632.x Date de publication en ligne : 06/06/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00632.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31019 [article]

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106-2011021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Terrestrial laser scanning for use in virtual outcrop geology / S.J. Buckley in Photogrammetric record, vol 25 n° 131 (September - November 2010)  

Public [article]  inPhotogrammetric record > vol 25 n° 131 (September - November 2010) . - pp 225 - 239 Titre : Terrestrial laser scanning for use in virtual outcrop geology Type de document : Article/Communication Auteurs : S.J. Buckley, Auteur ; H. Enge, Auteur ; C. Carlsson, Auteur ; John Howell, Auteur Année de publication : 2010 Article en page(s) : pp 225 - 239 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données géologiques [Termes IGN] données lidar [Termes IGN] géologie locale [Termes IGN] image à très haute résolution [Termes IGN] prospection minérale [Termes IGN] semis de points [Termes IGN] simulation [Termes IGN] télémétrie laser terrestre [Termes IGN] texturage [Termes IGN] Utah (Etas-Unis) Résumé : (Auteur) This paper discusses the application of laser scanning and photo-realistic modelling to aid the study of geological outcrops, using two examples from central and eastern Utah, USA, which are analogues to subsurface hydrocarbon fields. Terrestrial laser scanning point clouds were triangulated to obtain high-resolution surface representations, which were combined with semi-metric imagery to give texture-mapped photo-realistic models of the outcrops. Such models provide the basis for geological interpretation and were used to reconstruct the geometries of layers over the extent of the study area. The digitised geological layers were in turn used to build geocellular volumes that capture the properties of the geology. These models were built in subsurface reservoir modelling software and were used to simulate the flow of fluids through the reservoir analogue. In this way, the spatial information provided significantly more detailed quantitative data and greatly improved the outcrop studies compared to traditional field techniques. Numéro de notice : A2010-380 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2010.00572.x En ligne : https://doi.org/10.1111/j.1477-9730.2010.00572.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30574 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2010031	RAB	Revue	Centre de documentation	En réserve L003	Disponible