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Titre : Building large urban environments from unstructured point data Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Clément Mallet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2011 Conférence : ICCV 2011, IEEE International Conference on Computer Vision 06/11/2011 13/11/2011 Barcelone Espagne Proceedings IEEE Importance : pp 1068 - 1075 Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) We present a robust method for modeling cities from unstructured point data. Our algorithm provides a more complete description than existing approaches by reconstructing simultaneously buildings, trees and topologically complex grounds. Buildings are modeled by an original approach which guarantees a high generalization level while having semantized and compact representations. Geometric 3D-primitives such as planes, cylinders, spheres or cones describe regular roof sections, and are combined with mesh-patches that represent irregular roof components. The various urban components interact through a non-convex energy minimization problem in which they are propagated under arrangement constraints over a planimetric map. We experimentally validate the approach on complex urban structures and large urban scenes of millions of points. Numéro de notice : C2011-065 Affiliation des auteurs : MATIS+Ext (1993-2011) Autre URL associée : vers HAL Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICCV.2011.6126353 Date de publication en ligne : 12/01/2012 En ligne : https://doi.org/10.1109/ICCV.2011.6126353 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101222 Generating virtual 3D model of urban street facades by fusing terrestrial multi-source data / Karim Hammoudi (2011)
Titre : Generating virtual 3D model of urban street facades by fusing terrestrial multi-source data Type de document : Article/Communication Auteurs : Karim Hammoudi , Auteur ; Fadi Dornaika , Auteur ; Nicolas Paparoditis , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2011 Conférence : IE 2011, 7th International Conference on Intelligent Environments 25/07/2011 28/07/2011 Nottingham Royaume-Uni Proceedings IEEE Importance : pp 330 - 333 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] chaîne de traitement
[Termes IGN] données cadastrales
[Termes IGN] données lidar
[Termes IGN] façade
[Termes IGN] image terrestre
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] Paris (75)Résumé : (auteur) This paper presents a pipeline in progress for generating virtual 3D model of urban street facades by fusing cadastral map with terrestrial images and laser data. A Mobile Mapping System (MMS) has been employed to massively gather georeferenced images and laser raw data at street level. Firstly, we describe the context as well as our motivation that aims at enriching the quality of the virtual urban environments. Secondly, we briefly present advanced works on 3D street facades mapping by merging the cadastral map and laser data. These works addressed the street facade plane estimation, their delimitation, and their texturing. Thirdly, we present a novel extension we are working on for extracting 3D detailed facade limits by fusing the cadastral map with laser and image data. This extension is essentially focused to the detection of fine 2D skylines from acquired high resolution facade images and to the estimation of the detailed 3D facade top boundaries. The presented work deals with datasets acquired in the city of Paris under real conditions. Advances and results show the potential of the envisaged pipeline for applications such as the visualization and the large scale navigation in virtual 3D street model. Numéro de notice : C2011-070 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IE.2011.50 Date de publication en ligne : 31/10/2011 En ligne : https://doi.org/10.1109/IE.2011.50 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101402
Titre : 3D segmentation of forest structure using a mean-shift based algorithm Type de document : Article/Communication Auteurs : António Ferraz , Auteur ; Frédéric Bretar, Auteur ; Stéphane Jacquemoud, Auteur ; Gil Gonçalves, Auteur ; Luisa Pereira, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2010 Conférence : ICIP 2010, 17th IEEE International Conference on Image Processing 25/09/2010 29/09/2010 Hong Kong Royaume-Uni Proceedings IEEE Importance : pp 1413 - 1416 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de décalage moyen
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] segmentation
[Termes IGN] strate végétale
[Termes IGN] structure d'un peuplement forestierRésumé : (auteur) Consistent and accurate information on 3D forest canopy structure is required by many applications like forest inventory, management, logging, fuel mapping, habitat studies or biomass estimate. Compared to other remote sensing techniques (e.g., SAR or photogrammetry), airborne laser scanning is an adapted tool to provide such information by generating a three-dimensional georeferenced point cloud. Vertical structure analysis consists in detecting the number of layers within a forest stand and their limits. Until now, there is no approach that properly segments the different strata of a forest. In this study, we directly work on the 3D point cloud and we propose a mean shift (MS) based procedure for vertical forest segmentation. The approach that is carried out on complex forest plots improves the discrimination of vegetation strata. Numéro de notice : C2010-060 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : FORET/IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2010.5651310 En ligne : https://doi.org/10.1109/ICIP.2010.5651310 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101942 Coupling polarimetric L-Band insar and airborne lidar to characterize the geomorphological deformations in the piton de la fournaise volcano / Essam Heggy (2010)
Titre : Coupling polarimetric L-Band insar and airborne lidar to characterize the geomorphological deformations in the piton de la fournaise volcano Type de document : Article/Communication Auteurs : Essam Heggy, Auteur ; Melanie Sedze, Auteur ; Frédéric Bretar, Auteur ; Stéphane Jacquemoud, Auteur ; Paul A. Rosen, Auteur ; Kozin Wada, Auteur ; Thomas Staudacher, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2010 Conférence : IGARSS 2010, IEEE International Geoscience And Remote Sensing Symposium 25/07/2010 30/07/2010 Honolulu Hawaï - Etats-Unis Proceedings IEEE Importance : pp 1911 - 1913 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] bande L
[Termes IGN] déformation de la croute terrestre
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Piton de la Fournaise (volcan)
[Termes IGN] polarimétrie radarRésumé : (auteur) Until recently the coarse resolution of topographic mapping acted as a break on understanding the forces and processes that shape the Earth's surface. However, active surface deformation is an important indicator for the earth crustal dynamics since it is directly linked to earthquakes, volcanic eruptions and landslides. Both airborne laser scanning systems (LiDAR) and spaceborne interferometric synthetic aperture radars (InSAR) have provided valuable information for many case studies requiring highresolution characterization of ground movement in relatively large areas to assess the threat and impact of natural hazards especially for volcanic eruptions. The Piton de la Fournaise volcano (Reunion Island, France) is one of the most active basaltic shield volcanoes in the world. It has reached an anomalous activity level in the past years with a major eruption occurring in April 2007. In this paper, we explore the statistical, spatial and temporal behavior of the L-Band backscattering coefficient at both HH and HV polarizations over different type of terrains in the Fournaise lava field as a function of the LiDAR intensity data. The correlation will be used in setting empirical models to correct for the L-Band phase distortion on ash and rough surfaces in volcanic terrains. Numéro de notice : C2010-067 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2010.5649245 En ligne : https://doi.org/10.1109/IGARSS.2010.5649245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102028 A two-pass random forests classification of airborne Lidar and image data on urban scenes / Li Guo (2010)
Titre : A two-pass random forests classification of airborne Lidar and image data on urban scenes Type de document : Article/Communication Auteurs : Li Guo, Auteur ; Nesrine Chehata , Auteur ; Samia Boukir, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2010 Conférence : ICIP 2010, 17th IEEE International Conference on Image Processing 25/09/2010 29/09/2010 Hong Kong Hawaï - Etats-Unis Proceedings IEEE Importance : pp 1369 - 1372 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image RVB
[Termes IGN] intervalle de classe
[Termes IGN] scène urbaineRésumé : (auteur) Random forests ensemble classifier showed to be suitable for classifying multisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain: (1) the class boundaries are not well classified, a common issue in classification (2) the data are highly imbalanced raising another issue more specific to urban scenes. In this paper, we propose a new ensemble method based on the margin paradigm to improve the classification accuracy of minor classes. Random forests classifier is used in a two-pass methodology with an improved capability for classifying imbalanced data. Numéro de notice : C2010-061 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2010.5653030 Date de publication en ligne : 03/12/2010 En ligne : https://doi.org/10.1109/ICIP.2010.5653030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101943 U-SBAS: A universal multi-SBAS standard to ensure compatibility, interoperability and interchangeability / Mohamed Sahmoudi (2010)PermalinkPermalinkAnalysis of ALOS-PRISM image geometry for advanced photogrammetric applications / Laurent Falala (2009)PermalinkAutomatic estimation of fine terrain models from multiple high-resolution satellite images / Nicolas Champion (2009)PermalinkPermalinkUsing belief theory to diagnose control knowledge quality: Application to cartographic generalisation / Patrick Taillandier (2009)PermalinkAutomatic registration of optical images, a stake for future missions: Application to ortho-rectification, time series and mosaic products / Simon Baillarin (2008)PermalinkTerrain modeling from lidar data: Hierarchical K-means filtering and Markovian regularization / Nesrine Chehata (2008)PermalinkPermalinkPermalinkAutomatic extraction of urban vegetation structures from high resolution imagery and digital elevation models / Corina Iovan (2007)PermalinkAutomatic man-made object extraction and 3D scene reconstruction from geomatic-images; Is there still a long way to go? / Nicolas Paparoditis (2007)PermalinkProcessing fine digital terrain models by Markovian regularization from 3D airborne lidar data / Frédéric Bretar (2007)PermalinkPermalinkPermalinkAn automatic building reconstruction method : A structural approach using high resolution satellite images / Florent Lafarge (2006)PermalinkPermalinkRecognition of Building Roof Facets by Merging Aerial Images and 3D Lidar Data in a Hierarchical Segmentation Framework / Frédéric Bretar (2006)PermalinkHybrid digital elevation model production guided by 3D-primitives: a global optimization algorithm using graph cuts / Nesrine Chehata (2005)PermalinkIntensity-driven-adaptive-neighbourhood technique for PolSAR parameters estimation / Gabriel Vasile (2005)PermalinkA metric for evaluating and comparing hierarchical and multi-scale image segmentations / Roger Trias-Sanz (2005)PermalinkNon rigid registration of shapes via diffeomorphic point matching and clustering / Laurent Garcin (2005)PermalinkA region-based method for graph to image registration with an application to cadastre data / Roger Trias-Sanz (2005)PermalinkA texture orientation estimator for discriminating between forests, orchards, vineyards, and tilled fields / Roger Trias-Sanz (2005)PermalinkDetection of systematic error areas on a DTM by comparison with a high resolution LIDAR DTM / Frédéric Rousseaux (2004)PermalinkComparing RADARSAT-1 and IKONOS satellite images for urban features detection / Dan Johan Weydahl (2003)PermalinkPermalinkPermalinkIntegrating textural and geometric information for an automatic bridge detection system / Nicolas Lomenie (2003)PermalinkPermalinkPermalinkPermalinkA vector approach for automatic interpretation of the French cadastral map / Jean-Marc Viglino (2003)PermalinkRemote sensing model adaptation to vey high resolution digital images of urban areas / Didier Boldo (2001)PermalinkIntroduction to real-time imaging / E.R. 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