Descripteur
Documents disponibles dans cette catégorie (54)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Titre : Estimating 3D polyhedral building models by registering aerial images Type de document : Article/Communication Auteurs : Fadi Dornaika , Auteur ; Karim Hammoudi , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 6475 Conférence : ACIVS 2010, 12th International Conference Advanced Concepts for Intelligent Vision Systems 13/12/2010 13/12/2010 Sydney Australie Proceedings Springer Importance : pp 239 - 248 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bâtiment
[Termes IGN] empreinte
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface
[Termes IGN] polyèdreRésumé : (auteur) We describe a model driven approach for extracting simple 3D polyhedral building models from aerial images. The novelty of the approach lies in the use of featureless and direct optimization based on image rawbrightness. The 3D polyhedral model is estimated by optimizing a criterion that combines a global dissimilarity measure and a gradient score over several aerial images. The proposed approach gives more accurate 3D reconstruction than feature-based approaches since it does not involve intermediate noisy data (e.g., the 3D points of a noisy Digital Elevation Model). We provide experiments and evaluations of performance. Experimental results show the feasibility and robustness of the proposed approach. Numéro de notice : C2010-056 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-17691-3_22 En ligne : https://doi.org/10.1007/978-3-642-17691-3_22 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101648 Terrain surfaces and 3-D Landcover classification from small footprint full-waveform Lidar data: application to badlands / Frédéric Bretar in Hydrology and Earth System Sciences, HESS, vol 13 n° 8 (26/08/2009)
[article]
Titre : Terrain surfaces and 3-D Landcover classification from small footprint full-waveform Lidar data: application to badlands Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Adrien Chauve , Auteur ; Jean-Stéphane Bailly, Auteur ; Clément Mallet , Auteur ; A. Jacome, Auteur Année de publication : 2009 Projets : 3-projet - voir note / Article en page(s) : pp 1531 - 1545 Note générale : Bibliographie
The authors are grateful to INSU for its support to GIS Draix through the ORE programLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] empreinte
[Termes IGN] hydrographie de surface
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du sol
[Termes IGN] orthoimage couleur
[Termes IGN] risque naturel
[Termes IGN] semis de points
[Termes IGN] signal laserRésumé : (Auteur) This article presents the use of new remote sensing data acquired from airborne full-waveform lidar systems for hydrological applications. Indeed, the knowledge of an accurate topography and a landcover classification is a prior knowledge for any hydrological and erosion model. Badlands tend to be the most significant areas of erosion in the world with the highest erosion rate values. Monitoring and predicting erosion within badland mountainous catchments is highly strategic due to the arising downstream consequences and the need for natural hazard mitigation engineering.
Additionally, beyond the elevation information, full-waveform lidar data are processed to extract the amplitude and the width of echoes. They are related to the target reflectance and geometry. We will investigate the relevancy of using lidar-derived Digital Terrain Models (DTMs) and the potentiality of the amplitude and the width information for 3-D landcover classification. Considering the novelty and the complexity of such data, they are presented in details as well as guidelines to process them. The morphological validation of DTMs is then performed via the computation of hydrological indexes and photo-interpretation. Finally, a 3-D landcover classification is performed using a Support Vector Machine classifier. The use of an ortho-rectified optical image in the classification process as well as full-waveform lidar data for hydrological purposes is finally discussed.Numéro de notice : A2009-592 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/hess-13-1531-2009 Date de publication en ligne : 26/08/2009 En ligne : http://dx.doi.org/10.5194/hess-13-1531-2009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33545
in Hydrology and Earth System Sciences, HESS > vol 13 n° 8 (26/08/2009) . - pp 1531 - 1545[article]Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)
contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Didier Boldo , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 139 - 144 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] base de données localisées
[Termes IGN] empreinte
[Termes IGN] milieu urbain
[Termes IGN] précision du positionnement
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation d'imageRésumé : (Auteur) In the context of 3D reconstruction of wide urban areas, the use of building footprints has shown to be of great help to achieve both robustness and precision. These footprints however often present inconsistencies with the data (more than one building in the footprint, inner courts, superstructures...) This paper presents a fast and efficient algorithm to enhance the building footprint database in order to make subsequent 3D reconstructions easier, more accurate and more robust. It is based on a segmentation energy that is minimized by a split and merge approach. The algorithm is demonstrated on a wide urban area of one square kilometer. Numéro de notice : C2009-010 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_139.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65050 Extracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)
contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : Extracting building footprint from 3D point clouds using terrestrial laser scanning at street level Type de document : Article/Communication Auteurs : Karim Hammoudi , Auteur ; Fadi Dornaika , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 65 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] empreinte
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] modélisation 3D
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] télémétrie laser terrestre
[Termes IGN] zone urbaineRésumé : (Auteur) In this paper, we address the problem of generating building footprints using terrestrial laser scanning from a Mobile Mapping System (MMS). The MMS constitutes a fast and adapted tool to extract precise data for 3D city modeling. Urban environments evolve over time due to human activities and other factors. Buildings are constructed or destroyed and the urban areas are extended. Therefore, the structures of the cities are constantly modified. Currently, building footprints can be generated using aerial data. However, aerial based footprints lack precision due to the nature of the data and to the associated extraction methods. The use of MMS is proposed as an alternative to perform this complex task. In this work, we propose an operational approach for automatic extraction of accurate building footprints. We describe the challenges associated with the terrestrial laser raw data acquired in realistic and dense urban environments. After a filtering stage on the 3D laser cloud point, we extract and reconstruct the dominant facade planes by combining the Hough transform, the k-means clustering algorithm and the RANSAC method. The building footprint is then estimated from these dominant planes. Preliminary experimental results are presented and discussed. The assessments show that this approach is very promising for the automation of building footprints extraction. Numéro de notice : C2009-008 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_65.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65048 Prediction and visualization of GPS multipath signals in urban areas using LiDAR Digital Surface Models and building footprints / J. Li in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)
[article]
Titre : Prediction and visualization of GPS multipath signals in urban areas using LiDAR Digital Surface Models and building footprints Type de document : Article/Communication Auteurs : J. Li, Auteur ; Georges E. Taylor, Auteur ; D. Kidner, Auteur ; M. Ware, Auteur Année de publication : 2008 Article en page(s) : pp 1197 - 1218 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] bâtiment
[Termes IGN] dégradation du signal
[Termes IGN] données lidar
[Termes IGN] empreinte
[Termes IGN] incertitude géométrique
[Termes IGN] lancer de rayons
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] propagation du signal
[Termes IGN] signal GPS
[Termes IGN] trajet multiple
[Termes IGN] visualisation de donnéesRésumé : (Auteur) This paper explains a ray tracing method which is applied to prediction and visualization of diffracted and reflected GPS signals in dense urban areas. Reflected and diffracted signals can have a detrimental effect on GPS positioning accuracy especially in highly built-up areas. The ray tracing technique implemented in this paper is specially geared to LiDAR height pole data at 1-m spatial resolution and 2D building footprints in raster and vector format, respectively. Such a simple data format allows for rapid implementation of 3D ray tracing in a GIS without further processing so that detailed 3D urban models in vector format are not required. Issues of spatial uncertainty in the data used are also addressed in relation to the identification of multipath signals. Some preliminary results obtained from fieldwork are presented and analysed in detail. Copyright Taylor & Francis Numéro de notice : A2008-400 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1080/13658810701851396 En ligne : https://doi.org/10.1080/13658810701851396 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29392
in International journal of geographical information science IJGIS > vol 22 n°11-12 (november 2008) . - pp 1197 - 1218[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-08071 RAB Revue Centre de documentation En réserve L003 Disponible 079-08072 RAB Revue Centre de documentation En réserve L003 Disponible Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling / Florent Lafarge in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)PermalinkAssessment of forest structure with airborne LiDAR and the effects of platform altitude / N.R. Goodwin in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkGaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner / W. Wagner in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)PermalinkLa vie des animaux sauvages de l'Afrique / E. Gromier (1948)Permalink