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Using snakes for the registration of topographic road database objects to ALS features / J. Göpfert in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)
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Titre : Using snakes for the registration of topographic road database objects to ALS features Type de document : Article/Communication Auteurs : J. Göpfert, Auteur ; Franz Rottensteiner, Auteur ; Christian Heipke, Auteur Année de publication : 2011 Article en page(s) : pp 858 - 871 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] algorithme snake
[Termes IGN] appariement de données localisées
[Termes IGN] base de données routières
[Termes IGN] contour
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] données topographiques
[Termes IGN] modèle numérique de paysage
[Termes IGN] objet géographique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réseau routierRésumé : (Auteur) For historical reasons many national mapping agencies store their topographic data in a dual system consisting of a Digital Landscape Model (DLM) and a Digital Terrain Model (DTM). The DLM contains 2D vector data representing objects on the Earth’s surface, such as roads and rivers, whereas the DTM is a 2.5D representation of the related height information, often acquired by Airborne Laser Scanning (ALS). Today, many applications require reliable 3D topographic data. Therefore, it is advantageous to convert the dual system into a 3D DLM. However, as a result of different methods of acquisition, processing, and modelling, the registration of the two data sets often presents difficulties. Thus, a straightforward integration of the DTM and DLM might lead to inaccurate and semantically incorrect 3D objects. $In this paper we propose a new method for the fusion of the two data sets that exploits parametric active contours (also called snakes), focusing on road networks. For that purpose, the roads from a DLM initialise the snakes, defining their topology and their internal energy, whereas ALS features exert external forces to the snake via the image energy. After the optimisation process the shape and position of the snakes should coincide with the ALS features. With respect to the robustness of the method several known modifications of snakes are combined in a consistent framework for DLM road network adaptation. One important modification redefines the standard internal energy and thus the geometrical model of the snake in order to prevent changes in shape or position not caused by significant features in the image energy. For this purpose, the initial shape is utilized creating template-like snakes with the ability of local adaptation. This is one crucial point towards the applicability of the entire method considering the strongly varying significance of the ALS features. Other concepts related to snakes are integrated which enable our method to model network and ribbon-like characteristics simultaneously. Additionally, besides ALS road features information about context objects, such as bridges and buildings, is introduced as part of the image energy to support the optimisation process. Meaningful examples are presented that emphasize and evaluate the applicability of the proposed method. Numéro de notice : A2011-473 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.08.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.08.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31367
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 (November 2011) . - pp 858 - 871[article]Réservation
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Titre : Conditional random fields for the classification of LiDAR point clouds Type de document : Article/Communication Auteurs : Joachim Niemeyer, Auteur ; Clément Mallet , Auteur ; Franz Rottensteiner, Auteur ; Uwe Soergel, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2011 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38/4-W19 Conférence : ISPRS 2011, High-Resolution Earth Imaging for Geospatial Information workshop 14/06/2011 17/06/2011 Hanovre Allemagne OA ISPRS Archives Importance : 6 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] champ aléatoire conditionnel
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forme d'onde pleine
[Termes IGN] prise en compte du contexte
[Termes IGN] semis de points
[Termes IGN] zone urbaine denseRésumé : (auteur) In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds. Several object classes (i.e. ground, building and vegetation) can be separated reliably by considering each point's neighbourhood. Based on Conditional Random Fields (CRF) this contextual information can be incorporated into classification process in order to improve results. Since we want to perform a point-wise classification, no primarily segmentation is needed. Therefore, each 3D point is regarded as a graph's node, whereas edges represent links to the nearest neighbours. Both nodes and edges are associated with features and have effect on the classification. We use some features available from full waveform technology such as amplitude, echo width and number of echoes as well as some extracted geometrical features. The aim of the paper is to describe the CRF model set-up for irregular point clouds, present the features used for classification, and to discuss some results. The resulting overall accuracy is about 94 %. Numéro de notice : C2011-069 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : 10.5194/isprsarchives-XXXVIII-4-W19-209-2011 Date de publication en ligne : 07/09/2012 En ligne : https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-209-2011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101398 Conditional random fields for urban scene : Classification with full waveform LiDAR Data / Joachim Niemeyer (2011)
Titre : Conditional random fields for urban scene : Classification with full waveform LiDAR Data Type de document : Article/Communication Auteurs : Joachim Niemeyer, Auteur ; Jan Dirk Wegner, Auteur ; Clément Mallet , Auteur ; Franz Rottensteiner, Auteur ; Uwe Soergel, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2011 Conférence : PIA 2011, ISPRS Conference on Photogrammetric Image Analysis 05/10/2011 07/10/2011 Munich Allemagne OA ISPRS Archives Importance : pp 233 - 244 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] champ aléatoire conditionnel
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forme d'onde pleine
[Termes IGN] prise en compte du contexte
[Termes IGN] semis de points
[Termes IGN] zone urbaine denseRésumé : (auteur) We propose a context-based classification method for point clouds acquired by full waveform airborne laser scanners. As these devices provide a higher point density and additional information like echo width or type of return, an accurate distinction of several object classes is possible. However, especially in dense urban areas correct labelling is a challenging task. Therefore, we incorporate context knowledge by using Conditional Random Fields. Typical object structures are learned in a training step and improve the results of the point-based classification process. We validate our approach with two real-world datasets and by a comparison to Support Vector Machines and Markov Random Fields. Numéro de notice : C2011-033 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : 10.1007/978-3-642-24393-6_20 En ligne : https://doi.org/10.1007/978-3-642-24393-6_20 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85946 Documents numériques
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Titre : Photogrammetric image analysis PIA 11, Munich, Germany, October 5-7, 2011 Type de document : Actes de congrès Auteurs : Uwe Stilla, Éditeur scientifique ; Franz Rottensteiner, Éditeur scientifique ; Helmut Mayer, Éditeur scientifique ; Boris Jutzi, Éditeur scientifique ; Matthias Butenuth, Éditeur scientifique Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2011 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W22 Conférence : PIA 2011, ISPRS Conference on Photogrammetric Image Analysis 05/10/2011 07/10/2011 Munich Allemagne OA ISPRS Archives Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] appariement d'images
[Termes IGN] centroïde
[Termes IGN] classification
[Termes IGN] détection d'objet
[Termes IGN] modèle numérique de surface
[Termes IGN] orientation d'image
[Termes IGN] poursuite de cible
[Termes IGN] reconstruction 3D
[Termes IGN] vision par ordinateurNuméro de notice : 13843 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Actes DOI : sans Date de publication en ligne : 26/04/2013 En ligne : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-3-W22/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92335 Contient
- Change detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)
- Multiscale Haar transform for blur estimation from a set of images / Lâmân Lelégard (2011)
- Reflectance estimation from urban terrestrial images: validation of a symbolic ray-tracing method on synthetic data / Fabien Coubard (2011)
- Fast and accurate visibility computation in urban scenes / Bruno Vallet (2011)
- Interpretation of 2D and 3D building details on facade and roofs / Philip Meixner (2011)
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Code-barres Cote Support Localisation Section Disponibilité 13843-01 DEP-RECP Cédérom 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 ; 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 PermalinkDevelopment and testing of a generic sensor model for pushbroom satellite imagery / T. Weser in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkA test of 2D building change detection methods : comparison, evaluation and perspectives / Nicolas Champion (2008)PermalinkBuilding detection by fusion of airborne laser scanner data and multi-spectral images: performance evaluation and sensitivity analysis / Franz Rottensteiner in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)PermalinkDetection and vectorization of roads from lidar data / S. Clode in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 5 (May 2007)PermalinkJoint workshop of ISPRS and DAGM CMRT 2005, Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms and Evaluation / Uwe Stilla (2005)Permalink