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Termes IGN > sciences naturelles > physique > traitement d'image > reconstruction 3D
reconstruction 3DSynonyme(s)reconstruction volumique reconstruction volumique tridimensionnelle |
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Direct georeferencing of oblique and vertical imagery in different coordinate systems / H. Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)
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Titre : Direct georeferencing of oblique and vertical imagery in different coordinate systems Type de document : Article/Communication Auteurs : H. Zhao, Auteur ; B. Zhang, Auteur ; C. Wu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 122 – 133 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] géoréférencement direct
[Termes IGN] implémentation (informatique)
[Termes IGN] précision du positionnement
[Termes IGN] reconstruction 3D
[Termes IGN] semis de points
[Termes IGN] visée oblique
[Termes IGN] visée verticaleRésumé : (Auteur) Reconstruction of 3D models through integrating vertical and oblique imagery has been studied extensively. For a 3D reconstruction, object point cloud coordinates could be calculated using direct georeferencing (DG) obtained from the direct orientation data of a GPS/INS system. This paper implemented DG approaches for vertical and oblique imagery in the earth centered earth fixed frame (e-frame), local tangent frame (l-frame), and map projection frame (p-frame), respectively. In the p-frame, the earth curvature correction formulas were derived through naturalizing oblique imagery to vertical imagery to achieve a high positioning precision. Five basic stereo-pair models for vertical and oblique imagery were simulated to verify the positioning accuracy of different frames. Simulation experiments showed that DG in the e-frame and l-frame of these five scenarios were rigorous, and no systematic errors were imported by the DG model as these frames are Cartesian. DG in the p-frame has obvious systematic errors which are aroused by the earth curvature and projection deformation unconformity in the vertical and horizontal directions. These errors, however, can be compensated effectively through correcting image coordinates of the oblique imagery by extending the standard image coordinate correction approach and the exterior orientation (EO) height term. After the correction, the absolute positioning error is lower than 1/20 GSD for simulation test-1. In the p-frame, the process is straightforward, and it is convenient for producing maps. For high accuracy DG, though, it is recommended to adopt e-frame or l-frame options. Numéro de notice : A2014-476 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74053
in ISPRS Journal of photogrammetry and remote sensing > vol 95 (September 2014) . - pp 122 – 133[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014091 RAB Revue Centre de documentation En réserve L003 Disponible Stereo-imaging network design for precise and dense 3D reconstruction / Ali Hosseininaveh Ahmadabadian in Photogrammetric record, vol 29 n° 147 (September - November 2014)
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Titre : Stereo-imaging network design for precise and dense 3D reconstruction Type de document : Article/Communication Auteurs : Ali Hosseininaveh Ahmadabadian, Auteur ; S. Robson, Auteur ; Jan Böhm , Auteur ; et al., Auteur
Année de publication : 2014 Article en page(s) : pp 317 - 336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] angle de visée
[Termes IGN] modèle stéréoscopique
[Termes IGN] photogrammétrie terrestre
[Termes IGN] reconstruction 3D
[Termes IGN] système de référence localRésumé : (Auteur) This paper presents a novel stereo-imaging network design strategy comprising four steps: datum definition, optimum distance estimation, candidate camera position generation, and lastly clustering and selection of vantage viewpoints. An approximate 3D mesh model of an object from a quick low-cost system is used in the first step of the method. An ellipsoid is fitted to the rough model in order to find a suitable imaging distance regarding range- and visibility-related constraints for a stereopair. Next, a set of viewpoints is provided taking into account the ellipsoid and the calculated distance. Finally, camera positions and orientations are defined by clustering and choosing the vantage viewpoints. A system, called “imaging network designer” (IND), has been developed based on this method and is evaluated with two different tests. Results show that IND can provide an imaging network, which fulfils the expected precision for the entire object. Numéro de notice : A2014-491 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12076 Date de publication en ligne : 18/09/2014 En ligne : https://doi.org/10.1111/phor.12076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74080
in Photogrammetric record > vol 29 n° 147 (September - November 2014) . - pp 317 - 336[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2014031 RAB Revue Centre de documentation En réserve L003 Disponible A structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 2 (September 2014)
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Titre : A structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data Type de document : Article/Communication Auteurs : Z. Wang, Auteur ; L. Zhang, Auteur ; Tian Fang, Auteur Année de publication : 2014 Article en page(s) : pp 5653 - 5669 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] optimisation (mathématiques)
[Termes IGN] reconstruction 3DRésumé : (Auteur) A 3-D tree structure plays an important role in many scientific fields, including forestry and agriculture. For example, terrestrial laser scanning (TLS) can efficiently capture high-precision 3-D spatial arrangements and structure of trees as a point cloud. In the past, several methods to reconstruct 3-D trees from the TLS point cloud were proposed. However, in general, they fail to process incomplete TLS data. To address such incomplete TLS data sets, a new method that is based on a structure-aware global optimization approach (SAGO) is proposed. The SAGO first obtains the approximate tree skeleton from a distance minimum spanning tree (DMst) and then defines the stretching directions of the branches on the tree skeleton. Based on these stretching directions, the SAGO recovers missing data in the incomplete TLS point cloud. The DMst is applied again to obtain the refined tree skeleton from the optimized data, and the tree skeleton is smoothed by employing a Laplacian function. To reconstruct 3-D tree models, the radius of each branch section is estimated, and leaves are added to form the crown geometry. The developed methodology has been extensively evaluated by employing a dozen TLS point clouds of various types of trees. Both qualitative and quantitative performance evaluation results have indicated that the SAGO is capable of effectively reconstructing 3-D tree models from grossly incomplete TLS point clouds with significant amounts of missing data. Numéro de notice : A2014-440 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2291815 En ligne : https://ieeexplore.ieee.org/document/6693725 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74171
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 9 Tome 2 (September 2014) . - pp 5653 - 5669[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014091B RAB Revue Centre de documentation En réserve L003 Disponible Utilisation de la 3D à Metz-métropole (2) / Thomas Dalstein in Géomatique expert, n° 100 (01/09/2014)
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Titre : Utilisation de la 3D à Metz-métropole (2) Type de document : Article/Communication Auteurs : Thomas Dalstein, Auteur Année de publication : 2014 Article en page(s) : pp 28 - 43 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] BD Topo
[Termes IGN] données lidar
[Termes IGN] format d'échange
[Termes IGN] géomatique
[Termes IGN] hauteur du bâti
[Termes IGN] réalité augmentée
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] système d'information géographique
[Termes IGN] système d'information urbain
[Termes IGN] TerraExplorer
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Deuxième partie de la présentation des méthodes et applications liées à la 3D dans l'agglomération de la préfecture mosellane. Numéro de notice : A2014-353 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73750
in Géomatique expert > n° 100 (01/09/2014) . - pp 28 - 43[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-2014051 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P001615 GEO Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks / Dimitri Bolatov in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
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Titre : Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks Type de document : Article/Communication Auteurs : Dimitri Bolatov, Auteur ; Gisela Häufel, Auteur ; Jochen Meidow, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 157 - 170 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détail topographique
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] surface (géométrie)
[Termes IGN] texturageRésumé : (Auteur) Highly detailed 3D urban terrain models are the base for quick response tasks with indispensable human participation, e.g., disaster management. Thus, it is important to automate and accelerate the process of urban terrain modeling from sensor data such that the resulting 3D model is semantic, compact, recognizable, and easily usable for training and simulation purposes. To provide essential geometric attributes, buildings and trees must be identified among elevated objects in digital surface models. After building ground-plan estimation and roof details analysis, images from oblique airborne imagery are used to cover building faces with up-to-date texture thus achieving a better recognizability of the model. The three steps of the texturing procedure are sensor pose estimation, assessment of polygons projected into the images, and texture synthesis. Free geographic data, providing additional information about streets, forest areas, and other topographic object types, suppress false alarms and enrich the reconstruction results. Numéro de notice : A2014-334 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.02.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.02.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73701
in ISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 157 - 170[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014071 RAB Revue Centre de documentation En réserve L003 Disponible Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
PermalinkA graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds / B. Xiong in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
PermalinkAutomatic reconstruction of regular buildings using a shape-based balloon snake model / Diaro Yari in Photogrammetric record, vol 29 n° 146 (June - August 2014)
PermalinkFacade reconstruction using multiview spaceborne TomoSAR point clouds / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)
Permalink3D Hilbert space filling curves in 3D city modeling for faster spatial queries / Uznir Ujang in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)
PermalinkModel-based analysis–synthesis for realistic tree reconstruction and growth simulation / Corina Iovan in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)
PermalinkContextual classification of lidar data and building object detection in urban areas / Joachim Niemeyer in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkPermalinkPermalinkMaximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas / Michael Schmitt in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
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