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Point clouds : Lidar versus 3D vision / A. Irschara in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 10 (October 2010) . - pp 1123 - 1134 Titre : Point clouds : Lidar versus 3D vision Type de document : Article/Communication Auteurs : A. Irschara, Auteur ; Franz W. Leberl, Auteur ; T. Pock, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 1123 - 1134 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] analyse comparative [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] photogrammétrie numérique [Termes IGN] photographie aérienne [Termes IGN] photographie terrestre [Termes IGN] semis de points Résumé : (Auteur) Novel automated photogrammetry is based on four innovations. First is the cost-free increase of overlap between images when sensing digitally. Second is an improved radiometry. Third is multi-view matching. Fourth is the Graphics Processing Unit (gpu), making complex algorithms for image matching very practical. These innovations lead to improved automation of the photogrammetric workflow so that point clouds are created at sub-pixel accuracy, at very dense intervals, and in near real-time, thereby eroding the unique selling proposition of lidar scanners. Two test projects compare point clouds from aerial and street-side lidar systems with those created from images. We show that the photogrammetric accuracy compares well with the lidar-method, yet the density of surface points is much higher from images, and the throughput is commensurate with a fully automated all-digital approach. Beyond this density, we identify 15 additional advantages of the photogrammetric approach. Numéro de notice : A2010-430 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.10.1123 En ligne : https://doi.org/10.14358/PERS.76.10.1123 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30623 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2010101	RAB	Revue	Centre de documentation	En réserve L003	Disponible
105-2010102	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters / H. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 10 (October 2010) . - pp 1135 - 1145 Titre : A two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters Type de document : Article/Communication Auteurs : H. Wu, Auteur ; Y. Li, Auteur ; J. Li, Auteur ; J. Gong, Auteur Année de publication : 2010 Article en page(s) : pp 1135 - 1145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données lidar [Termes IGN] élément d'orientation externe [Termes IGN] fusion de données [Termes IGN] image aérienne [Termes IGN] modèle linéaire [Termes IGN] semis de points [Termes IGN] superposition d'images [Termes IGN] superposition de données [Termes IGN] zone urbaine Résumé : (Auteur) This paper presents a novel linear registration algorithm for lidar point clouds and aerial images without orientation parameters. First, preprocessing is conducted to classify the lidar point clouds into ground points, building points, and aboveground, non-building points. After preprocessing, the algorithm consists of two sequential steps, i.e., Tilt Displacement Correction and Height Displacement Correction. As the kernel of the proposed registration algorithm, the mathematical model for Height Displacement Correction is a set of linear formulas analytically deduced from the rigorous geometric function of a single image. The proposed registration algorithm does not require any orientation parameters for the image, which greatly lowers the requirements for image acquisition. Due to the model's linearity, the proposed algorithm is computationally efficient. Our experimental results demonstrate that the proposed algorithm can register aerial images without orientation parameters at the same accuracy level of space resection based on collinear equations. This result fulfills the requirement for the fusion of lidar range data and aerial images in most large-scale urban modeling applications. Numéro de notice : A2010-431 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.10.1135 En ligne : https://doi.org/10.14358/PERS.76.10.1135 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30624 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2010101	RAB	Revue	Centre de documentation	En réserve L003	Disponible
105-2010102	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Registration of terrestrial photogrammetric data using natural surfaces as control / S. Levin in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 10 (October 2010) . - pp 1183 - 1193 Titre : Registration of terrestrial photogrammetric data using natural surfaces as control Type de document : Article/Communication Auteurs : S. Levin, Auteur ; S. Filin, Auteur Année de publication : 2010 Article en page(s) : pp 1183 - 1193 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] données topographiques [Termes IGN] image terrestre [Termes IGN] photogrammétrie terrestre [Termes IGN] point d'appui [Termes IGN] site archéologique [Termes IGN] superposition d'images Résumé : (Auteur) We present a model for the alignment of image sets using topographic data as control information. Traditional photogrammetric practices are point-based and require well-measured and clearly marked entities within the scene; for repeated measurement, their demarcation should also be durable. Nonetheless, placement of photogrammetric control points oftentimes cannot be readily implemented within the area for documentation. In many of those cases, some form of topographic model, either coarse or fine, exists or can be readily established. This topographic description provides a broad and markerless coverage of control information, which, if modeled appropriately, can substitute the use of a control-point network in the alignment process. We present in this paper a registration model for terrestrial images based on surfaces as control information. The paper addresses both the problem of acquiring mutual corresponding entities and registration based on varying resolutions. The application of the proposed approach is demonstrated on a mapping of an archeological site and for registration of a set of terrestrial images of an open, unstructured scene using airborne laser scanning data. Results show both the applicability of such a model and that estimation comparable in quality to point based observations can be achieved. Numéro de notice : A2010-432 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.10.1183 En ligne : https://doi.org/10.14358/PERS.76.10.1183 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30625 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2010101	RAB	Revue	Centre de documentation	En réserve L003	Disponible
105-2010102	RAB	Revue	Centre de documentation	En réserve L003	Disponible