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Airborne lidar feature selection for urban classification using random forests / Nesrine Chehata (2009)
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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)
Titre : Airborne lidar feature selection for urban classification using random forests Type de document : Article/Communication Auteurs : Nesrine Chehata , Auteur ; Li Guo, Auteur ; Clément Mallet
, 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/W8 Conférence : ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings Importance : pp 207 - 212 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] lidar à retour d'onde complèteRésumé : (Auteur) Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar feature selection for urban scene classification. Random forests are used since they provide an accurate classification and run efficiently on large datasets. Moreover, they return measures of variable importance for each class. The feature selection is obtained by backward elimination of features depending on their importance. This is crucial to analyze the relevance of each lidar feature for the classification of urban scenes. The Random Forests classification using selected variables provide an overall accuracy of 94.35%. Numéro de notice : C2009-005 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : FORET/IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/207_laserscanning09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65045 Automatic gigapixel mosaïcing in large scale unstructured underground environments / Daniela Craciun (2009)
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contenu dans Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)
Titre : Automatic gigapixel mosaïcing in large scale unstructured underground environments Type de document : Article/Communication Auteurs : Daniela Craciun , Auteur ; Francis Schmitt, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2009 Conférence : MVA 2009, IAPR Conference on Machine Vision Applications 20/05/2009 22/05/2009 Yokohama Japon open access proceedings Importance : pp 13 - 16 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] caméra numérique
[Termes IGN] grande échelle
[Termes IGN] grotte
[Termes IGN] image gigapixel
[Termes IGN] mosaïquage d'images
[Termes IGN] mosaïque d'images
[Termes IGN] TautavelRésumé : (Auteur) We are currently developing a vision-based system aiming at automatically generating in situ ultra-high resolution mosaics in previously unknown, complex and unstructured underground environments. Nowadays, image stitching algorithms present several limitations when dealing with unstructured environments. The most important to our concern is the ability to deal with feature-less areas. In this paper we describe an automatic on line Gigapixel mosaicing system capable to deal with the absence of reliably detectable and trackable features. The input of our algorithm is a pose-annotated sequence of high-resolution images acquired from a common optical center by a calibrated pantilt motorized digital camera unit. The proposed mosaïcing system is powered by a global-to-local pairwise image alignment which recovers the rotations relating the overlapping images in a coarse-to-fine approach. The local motion procedure outputs a list of locally matched anonymous features which are later injected in a bundle adjustment engine for multi-view fine alignment. The proposed algorithm combines the state of the art mosaicing techniques in a complementary and efficient fashion providing an environment-independent solution for the image mosaicing task. The final output of the algorithm is a Gigapixel spherical mosaic rendering. Tests on real data acquired in a prehistorical cave (Tautavel Cave, France) illustrate mosaicing examples obtained from several hundreds of high-resolution images. Numéro de notice : C2009-053 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.mva-org.jp/Proceedings/2009CD/papers/02-01.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64292 Documents numériques
en open access
13877_commu_mva_2009_craciun_et_al.pdfAdobe Acrobat PDFBundle adjustment and pose estimation of images of a multiframe panoramic camera / Bertrand Cannelle (2009)
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Titre : Bundle adjustment and pose estimation of images of a multiframe panoramic camera Type de document : Article/Communication Auteurs : Bertrand Cannelle , Auteur ; Daniela Craciun
, Auteur ; Didier Boldo
, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2009 Conférence : O3DMT 2009, 9th Optical 3-D Measurement Techniques Conference 01/07/2009 03/07/2009 Vienne Autriche open access proceedings Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] compensation par faisceaux
[Termes IGN] image panoramique
[Termes IGN] image terrestre
[Termes IGN] orientation d'image
[Termes IGN] orientation relative
[Termes IGN] photothéodolite
[Termes IGN] SIFT (algorithme)
[Termes IGN] StéréopolisRésumé : (Auteur) The STEREOPOLIS mobile mapping system, developed in the MATIS laboratory of IGN for city modelling and multimedia applications, integrates a panoramic head composed of 10 full HD cameras very accurately synchronised. For each pose, a panoramic image is generated from the set of corresponding but poorly overlapping images. In this paper, we evaluate the performance of a three-step method developed in Craciun that computes the relative pose between the different frame camera images composing the panoramic frame. A phototheodolite, i.e. a theodolite coupled with a digital camera, is used to construct a reference data set with a ground truth which is sufficiently accurate (to some extent) to evaluate by comparison the results of our pose estimation process. We present the different steps to compute, then we present the algorithm which is used as well as mathematic concept and finally results are commented the results of our pose estimation process will also be compared with an off-the-shelf high quality software using SIFT-based corresponding points and bundle adjustment, i.e. Autopano. Numéro de notice : 13847 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64283 Documents numériques
en open access
13847_commu_optical3d2009_cannelle_et_al.pdfAdobe Acrobat PDFCircular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)
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contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : Circular road sign extraction from street level images using colour, shape and texture database maps Type de document : Article/Communication Auteurs : Aurore Arlicot, Auteur ; Bahman Soheilian , 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 205 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] grande échelle
[Termes IGN] modélisation 3D
[Termes IGN] navigation automobile
[Termes IGN] reconnaissance d'objets
[Termes IGN] système de numérisation mobileRésumé : (Auteur) Detection and recognition of road signs can constitute useful tools in driving assistance and autonomous navigation systems. We aim at generating a road sign database that can be used for both georeferencing in autonomous vehicle navigation systems and also in high scale 3D city modelling. This paper proposes a robust algorithm that can detect road signs shape and recognizes their types. Numéro de notice : C2009-012 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_205.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65052 CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
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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)
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