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International Society for Photogrammetry and Remote Sensing ISPRS
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Titre : Classification of roof materials for rainwater pollution modelization Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Pauline Robert-Sainte, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Conférence : ISPRS 2009, High-Resolution Earth Imaging for Geospatial Information workshop 02/06/2009 05/06/2009 Hanovre Allemagne OA ISPRS Archives Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] BD Topo
[Termes IGN] classification dirigée
[Termes IGN] eau pluviale
[Termes IGN] image RVB
[Termes IGN] matériau
[Termes IGN] milieu urbain
[Termes IGN] ombre
[Termes IGN] orthoimage couleur
[Termes IGN] pollution des eaux
[Termes IGN] segmentation d'image
[Termes IGN] toitRésumé : (Auteur) It has been proven that roof runoff water plays an important role in the high metallic concentration levels in urban rainwater since metallic elements are generated by corrosion of roof materials before being swept away by rainwater. The aim of TOITEAU project is therefore to model this phenomenon, evaluating the metallic flows from roofs in rainwater. To achieve this goal, an important work has already been done to model those flows at roof scale. But, it has now to be extrapolated to a whole drainage area, requiring knowledge about the areas concerned by the different kinds of roof coverage, that is to say that a map of roof materials is needed. Such information can be extracted from aerial (ortho) images owing to (supervised) classification techniques. In the present situation, only six classes corresponding to the following kinds of roofs were defined : zinc plates, slates, red tiles, brown tiles and flat roofs. Nevertheless, classification results are limited because of several factors that have therefore to be dealt with. First of all, some distinct classes have very similar radiometric distribution (such as for instance zinc and at light slates), making it hard to distinguish between them. That's why derived channels computed from initial red-green-blue channels of the ortho-image have been used to improve the classification results. Texture channels have also been tested especially to discriminate zinc from other light coloured roof materials. For the same reason and in order not to obtain a too ”noisy” result, per region classification algorithms have been used : homogeneous regions will be classified instead of pixels. Secondly, roofs are the only interesting parts of the ortho-image in this study. As a consequence, a building mask is first computed from digital topographic database BDTopo in order to classify only roofs. However, several elements concerning data precision have to be taken into account at this step. For instance, the ortho-image and the topographic database can obviously not have been captured at the same date and, as a consequence, buildings can have been destroyed, modified or built between these two distinct capture times. In addition, as the used ortho-image is not a ”true ortho-image”, building objects from digital topographic database and ortho-image roofs are not perfectly superposed. However, these topographic database building objects can be registered to the ortho-image. Nevertheless, it must be said that these database objects often remain caricatures of true buildings. Besides, most of the time, homogeneous regions to be classified do not directly correspond to database buildings since those database objects can be groups of buildings or buildings of which the roof is composed of different materials. Therefore, it is necessary to segment building areas (according to the topographic database) of the ortho-image into homogeneous regions that are then classified. Lastly, shadows can be quite important in roof areas because of the presence of roof superstructures or higher buildings in the neighbourhood. That's why an additional class ”shadow” is also defined in order to take into account shadow areas where radiometric information is not sufficient to discriminate between the different kinds of materials. Tests have been carried out on two distinct study areas with 50cm resolution orthophotos for the first one and 12cm resolution orthoimages for the second one. The first study area was a dense urban centre, whereas the second could be divided into several parts : a residential suburb consisting of houses, a dense urban centre with buildings having up to 4-5 levels and a mixed residential / service area consisting of higher buildings. Numéro de notice : C2009-038 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/1_4_7-W5/paper/LE_BRIS-152.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64298 Documents numériques
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Classification of roof materials ... - pdf éditeurAdobe Acrobat PDF CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation Type de document : Actes de congrès Auteurs : Uwe Stilla, Éditeur scientifique ; Franz Rottensteiner, Éditeur scientifique ; Nicolas Paparoditis , Éditeur scientifique 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 : 231 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement dense
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion d'images
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] traitement d'imageNote de contenu : - Efficient Road Mapping via Interactive Image Segmentation / O. Barinova, R. Shapovalov, S. Sudakov, A. Velizhev, A. Konushin Moscow State University, Russia
- Surface Modelling for Road Networks using Multi-Source Geodata / C-Y. Lo, L-C. Chen, C-T. Chen, J-X. Chen, National Central University, Taiwan;
Department of Land Administration, Taiwan
- Automatic Extraction of Urban Objects from Multi-Source Aerial Data / A. Mancini, E. Frontoni P. Zingaretti, Universita Politecnica delle Marche, Italy
- Road Roundabout Extraction from Very High Resolution Aerial Imagery / M. Ravanbakhsh, C. S. Fraser, University of Melbourne, Australia
- Assessing the Impact of Digital Surface Models on Road Extraction in Suburban Areas by Region-based Road Subgraph Extraction / A. Grote, F. Rottensteiner, Leibniz Universitat Hannover, Germany
- Vehicle Activity Indication from Airborne Lidar Data of Urban Areas by Binary Shape Classification of Point Sets / W. Yao, S. Hinz, U. Stilla, Technische Universitaet Muenchen, Germany, Universitat Karlsruhe, Germany
- Trajectory-based Scene Description and Classification by Analytical Functions / D. Pfeiffer, R. Reulke, Humboldt-University of Berlin, Germany
- 3D Building Reconstruction from Lidar Based on a Cell Decomposition Approach / M. Kada, L. McKinley, University of Stuttgart, Germany; Virtual City Systems, Germany
- A Semi-automatic Approach to Object Extraction from a Combination of Image and Laser Data / S. A. Mumtaz, K. Mooney, The Dublin Institute of Technology, Ireland
- Complex Scene Analysis in Urban Areas Based on an Ensemble Clustering Method Applied on Lidar Data / P. Ramzi, F. Samadzadegan, University of Tehran, Iran
- Extracting Building Footprints from 3D Point Clouds using Terrestrial Laser Scanning at Street Level / K. Hammoudi, F. Dornaika, N. Paparoditis, Institut Geographique National, France.
- Extraction of Buildings using Images & Lidar Data and a Combination of Various Methods / N. Demir, D. Poll, E. Baltsavias, ETH Zurich, Switzerland
- Dense Matching in High resolution oblique airborne images / M. Gerke, ITC, The Netherlands
- Comparison of Methods for Automated Building Extraction from High Resolution Image Data / G. Vozikis, GEOMETLtd, Greece
- Semi-automatic City Model Extraction from Tri-stereoscopic VHR Satellite Imagery / F. Tack, R. Goossens, G. Buyuksalih, Ghent University, Belgium; IMP-Bimtas, Turkey
- Automated selection of terrestrial images from sequences for the texture mapping of 3d city models / S. Benitez, C. Baillard, SIRADEL, France
- Classification System of CIS-Objects using Multi-sensorial Imagery for Near-Realtime Disaster Management / D. Frey, M. Butenuth, Technische Universitaet Muenchen, Germany
- An Approach for Navigation in 3D Models on mobile Devices / J. Wen, Y. Wu, F. Wang, Information Engineering University, China
- Graph-based Urban Object Model Processing / K. Falkowski, J. Ebert, University of Koblenz-Landau, Germany
- A Proof of Concept of Iterative DSM Improvement through SAR Scene Simulation / D. Derauw, Royal Military Academy & Universite de Lieg, Belgium
- Competing 3D Priors for Object Extraction in Remote Sensing Data / K. Karantzalos, N. Paragios, Ecole Centrale de Paris, France
- Object Extraction from Lidar Data using an Artificial Swarm Bee Colony Clustering Algorithm / S. Saeedi, F. Samadzadegan, N. El-Sheimy, University of Calgary, Canada; University of Tehran, Iran
- Building Footprint Database Improvement for 3D Reconstruction: a Direction Aware Split and Merge Approach / B. Vallet, M. Pierrot-Deseilligny, D. Boldo, Institut Geographique National, France
- A Test of Automatic Building Change Detection Approaches / N. Champion, F. Rottensteiner, L. Matikainen, X. Liang, J. Hyyppa, B.P. Olsen, Institut Geographique National, France; Leibniz Universitat Hannover, Germany; Finnish geodetic Institute, Finland; National Survey and Cadastre (KMS), Denmark
- Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection / A. Schmitt, B. Wessel, A. Roth, DLR, Germany
- Ray Tracing and SAR-Tomography for 3D Analysis of Microwave Scattering at Man-Made Objects / S. Auer, X. Zhu, S. Hinz, R. Bamler
Technische Universitaet Muenchen, Germany; Universitat Karlsruhe, Germany; DLR, Germany
- Theoretical Analysis of Building Height Estimation using Spaceborne SAR-Interferometry for Rapid Mapping Applications / S. Hinz, S. Abelen, Universitat Karlsruhe, Germany; Technische Universitaet Muenchen, Germany
- Fusion of Optical and InSAR Features for Building Recognition in Urban Areas / J. D. Wegner, A. Thiele, U. Soergel, Leibniz Universitat Hannover, Germany; FGAN-FOM, Germany
- Fast Vehicle Detection and Tracking in Aerial Image Bursts / K. Kozempel, R. Reulke, DLR, Germany
- Refining Correctness of Vehicle Detection and Tracking in Aerial Image Sequences by Means of Velocity and Trajectory Evaluation / D. Lenhart, S. Hinz, Technische Universitaet Muenchen, Germany; Universitat Karlsruhe, Germany
- Utilization of 3D City Models and Airborne Laser Scanning for Terrain-based Navigation of Helicopters and UAVs / M. Hebel, M. Arens, U. Stilla, FGAN-FOM, Germany, Germany; Technische Universitaet Muenchen, Germany
- Study of SIFT Descriptors for Image Matching based Localization in Urban Street View Context / D. Picard, M. Cord, E. Valle, UPMC Paris 6, France; Univ Cergy-Pontoise, France .
- Text Extraction from Street Level Images / J. Fabrizio, M. Cord, B. Marcotegui, Laboratoire d'informatique de Paris 6, France; Mathematiques et Systemes, France
- Circular Road Sign Extraction from Street Level Images using Colour, Shape and Texture Database Maps / A. Arlicot, B. Soheilian, N. Paparoditis, Institut Geographique National, France
- Improving Image Segmentation using Multiple View Analysis / M. Drauschke, R. Roscher, T. La'be, W. Fdrstner, University of Bonn, Germany
- Refining Building Facade Models with Images / S Pu, G. Vosselman, ITC, The Netherlands
- An Unsupervised Hierarchical Segmentation of a Facade Building Image in Elementary 2D - Models / J.-P. Burochin, O. Tournaire, N. Paparoditis, Institut Geographique National, France
- Grammar Supported Facade Reconstruction from Mobile Lidar Mapping / S. Becker, N. Haala, University of Stuttgart, GermanyNuméro de notice : 15496 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Actes DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34768 Voir aussiContient
- A test of automatic building change detection approaches / Nicolas Champion (2009)
- Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)
- Detection of buildings at airport sites using images and lidar data and a combination of various methods / N. Demir (2009)
- Extracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)
- 3D builbing reconstruction from lidar based on a cell decomposition approach / Martin Kada (01/12/2009)
- An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)
- Circular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)
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Code-barres Cote Support Localisation Section Disponibilité 15496-01 CG2009 Livre Centre de documentation Congrès Disponible 15496-03 K317 Livre LASTIG Dépôt en unité Exclu du prêt CMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : CMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation Type de document : Actes de congrès Auteurs : Uwe Stilla, Éditeur scientifique ; Nicolas Paparoditis , Éditeur scientifique ; International society for photogrammetry and remote sensing (1980 -), Producteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion d'images
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] système de numérisation mobile
[Termes IGN] traitement d'imageIndex. décimale : MULTIM Cédéroms et DVD Numéro de notice : 15496Z Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : IMAGERIE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64092 Voir aussiRéservation
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Code-barres Cote Support Localisation Section Disponibilité 15496Z-01 MULTIM Cédérom Centre de documentation Indéterminé Disponible Detection of buildings at airport sites using images and lidar data and a combination of various methods / N. Demir (2009)
contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : Detection of buildings at airport sites using images and lidar data and a combination of various methods Type de document : Article/Communication Auteurs : N. Demir, Auteur ; Daniela Poli, Auteur ; Emmanuel P. Baltsavias, 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 71 - 76 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] aéroport
[Termes IGN] classification dirigée
[Termes IGN] données lidar
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de terrain
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Zurich (Suisse)Résumé : (Auteur) In this work, we focus on the detection of buildings, by combining information from aerial images and Lidar data. We applied four different methods on a dataset located at Zurich Airport, Switzerland. The first method is based on DSM/DTM comparison in combination with NDVI analysis (Method 1). The second one is a supervised multispectral classification refined with a normalized DSM (Method 2). The third approach uses voids in Lidar DTM and NDVI classification (Method 3), while the last method is based on the analysis of the density of the raw Lidar DTM and DSM data (Method 4). An improvement has been achieved by fusing the results of the different methods, taking into account their advantages and disadvantages. Edge information from images has also been used for quality improvement of the detected buildings. The accuracy of the building detection was evaluated by comparing the results with reference data, resulting in 94% detection and 7% omission errors for the building area. Numéro de notice : C2009-009 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_71.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65049 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 Generation of a spatial information system for architecture with laserscanning data / Luigi Fregonese (2009)PermalinkPermalinkNew integration approach of photogrammetric and LIDAR techniques for architectural survey / Francesco Nex (2009)PermalinkPathway detection and geometrical description from ALS data in forested mountaneous area / Nicolas David (2009)PermalinkPermalinkPermalinkAn efficient approach to building superstructure reconstruction using digital elevation maps / Fadi Dornaika (2008)PermalinkPermalinkDetection, segmentation and characterisation of vegetation in high-resolution aerial images for 3D city modelling / Corina Iovan (2008)PermalinkPermalink