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Photogrammetric computer vision and image analysis: ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 2. Papers accepted on the basis of abstracts / Nicolas Paparoditis (2010)
Titre de série : Photogrammetric computer vision and image analysis: ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 2 Titre : Papers accepted on the basis of abstracts Type de document : Actes de congrès Auteurs : Nicolas Paparoditis , Éditeur scientifique ; Marc Pierrot-Deseilligny , Éditeur scientifique ; Clément Mallet , Éditeur scientifique ; Olivier Tournaire , Éditeur scientifique Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3B Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : 169 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] données lidar
[Termes IGN] extraction de données
[Termes IGN] reconstruction 3D
[Termes IGN] semis de points
[Termes IGN] traitement d'imageNote de contenu : 3D Reconstruction based on Stereovision and Texture Mapping / Jingchao Li, Zhenjiang Miao, Xiangqian Liu, Yanli Wan
Image matching with SIFT features - a probabilistic approach / Jyoti Vishnu Joglekar, Shirish S Gedam
Comparison of different approaches to extract heterogeneous objects from an image using an orchards exemple / Przemyslaw Kupidura, Lukasz Gwadera
Monitoring temperate glacier with high resolution automated digital cameras - Application to the Argentiere glacier / Renaud Fallourd, Flavien Vernier, Jean-Michel Friedt, Gilles Martin, Emmanuel Trouve, Luc Moreau, Jean-Marie Nicolas
Extraction of 3D road geometry based on IFSAR data / Qiaoping Zhang, Luca Giovannini, Michael Simantov, Jennifer de Vries, Maelynn Vuong, Stephen Griffiths, Bryan Mercer, Xiaopeng Li
Photogrammetric techniques for power line ranging / Xue Wan, Xiaozhi Qu, Litao Wang, Buwei Wu, Jianqing Zhang, Shunyi Zheng
An integrated system on large scale building extraction from DSM / Yan Li, Lin Zhu, Shimamura Hideki, Kikuo Tachibana
Impact of DEM reconstruction parameters on geomorphological indicators / Mhamad El Huge, Elisabeth Simonetto, Ghaleb Faour, Laurent Polidori
An Improved Snake Model for Automatic Extraction of Buildings from Urban Aerial Images and LiDAR Data Using Genetic Algorithm / Mostafa Kabolizade, Hamid Ebadi, Salmon Ahmadi
Automatic vehicle detection in aerial image sequences of urban areas using 3D HoG features / Sebastian Tuermer, Jens Leitloff, Peter Reinartz, Uwe Stilla
Extraction of simple road crossing / Rodrigo Bruno Zanin, Erico Fernando O Martins, Giovane Mala Vale, Aluir Porfirio Dal Poz
On the effectiveness of feature-based lidar point cloud registration / Jen-Jer Jaw, Tzu-Yi Chuang
Large-Scale Aerial Image Interpretation Using A Redundant Semantic Classification / Stefan Kluckner, Horst Bischof
Pose estimation of image sequence captured from urban environment / Mehdi Mazaheri Tehrani, Mohammad Saadat Seresht
Enhanced robust phase correlation based sub-pixel feature matching for target motion estimation / Hongshi Yan, Jian Guo Liu
Extraction of traffic islands via active contours without edges / Mehdi Ravanbakhsh, Clive S Fraser, Mohammad Awrangjeb
3D Change Detection inside Urban Areas using different Digital Surface Models / Houda Chaabouni-Chouayakh, Thomas Krauss, Pablo d'Angela, Peter Reinartz
Photorealistic 3D volumetric model reconstruction by voxel coloring / Dianyong Zhang, Zhenjiang Miao
Characterizing building facades from vertical aerial images / Philipp Meixner, Franz Leberl
Roughness measurement from multi-stereo reconstruction / Benoit Petitpas, Laurent Beaudouin, Michel Roux, Jean-Paul Rudant
Optimum selection of images in industrial photogrammetry using fuzzy computation / Amir Shahrokh Amini, Mohammad Saadat Seresht, Masood Varshosaz
An improved workflow for image-and laser-based virtual geological outcrop modelling / Aleksandra Sima, Simon Buckley, Danilo Schneider, John Howell
Feasibility of the deformation analysis of a plate subjected to vibrations using recent computer vision methods / Elisabeth Simonetto, Charles Pezerat
Extraction of vertical posts in 3D laser point clouds acquired in dense urban areas by a Mobile Mapping System / Sterenn Liberge, Bahman Soheilian, Nesrine Chehata, Nicolas Paparoditis
Combination of image and lidar data for building and tree extraction / Nusret Demir, Emmanuel Baltsavias
Retrieval of the Backscatter Cross-Section in Full-Waveform Lidar Data using B-Splines / Andreas Roncat, Gunther Bergauer, Norbert Pfeifer
Integration of knowledge into the detection of objects in point clouds / Hung Quoc Truong, Helmi Ben Hmida, Andreas Marbs, Frank Boochs
Matching of 3D wire-frame building models with image features from infrared video sequences taken by helicopters or UAVs / Janja Avbelj, Dorota Iwaszczuk, Uwe Stilla
Automatic classification and 3D modeling of lidar data / Adel Mohamed Moussa, Naser El-Sheimy
Evaluation of One-class SVM for pixel-based and segment-based classification in remote sensing / Andreas BraunNuméro de notice : 15528B Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Actes nature-HAL : DirectOuvrColl/Actes DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVIII/part3/b/default.aspx Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34774 Voir aussiContientRéservation
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Code-barres Cote Support Localisation Section Disponibilité 15528-01B CG2010 Livre Centre de documentation Congrès Disponible 15528-03B CG2010 Livre Centre de documentation Congrès Disponible Proceedings Silvilaser 2010, The 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14th - 17th, 2010 Freiburg, Germany / Barbara Koch (2010)
Titre : Proceedings Silvilaser 2010, The 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14th - 17th, 2010 Freiburg, Germany Type de document : Actes de congrès Auteurs : Barbara Koch, Éditeur scientifique ; Gerald Kändler, Éditeur scientifique ; Christelle Teguem, Éditeur scientifique Editeur : Fribourg [Allemagne] : University of Freiburg Année de publication : 2010 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne ISPRS OA Archives Importance : 588 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] écosystème forestier
[Termes IGN] forêtNuméro de notice : 17349 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Actes DOI : sans En ligne : https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ve [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83728 ContientDocuments numériques
en open access
Proceedings Silvilaser 2010Adobe Acrobat PDF Terrestrial laser scanner self-calibration: correlation sources and their mitigation / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)
[article]
Titre : Terrestrial laser scanner self-calibration: correlation sources and their mitigation Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur Année de publication : 2010 Article en page(s) : pp 93 - 102 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] acquisition de données
[Termes IGN] auto-étalonnage
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] étalonnage d'instrument
[Termes IGN] télémètre laser terrestreRésumé : (Auteur) Instrument calibration is recognised as an important process to assure the quality of data captured with a terrestrial laser scanner. While the self-calibration approach can provide optimal estimates of systematic error parameters without the need for specialised equipment or facilities, its success is somewhat hindered by high correlations between model variables. This paper presents the findings of a detailed study into the sources of correlation in terrestrial laser scanner self-calibration for a basic additional parameter set. Several pertinent outcomes, resulting from experiments conducted with simulated data, and 12 real calibration datasets captured with a Faro 880 terrestrial laser scanner, are presented. First, it is demonstrated that panoramic-type scanner self-calibration from only two instrument locations is possible so long as the scans have orthogonal orientation in the horizontal plane. Second, the importance of including scanner tilt angle observations in the adjustment for parameter de-correlation is demonstrated. Third, a new network measure featuring an asymmetric distribution of object points that does not rely upon a priori observation of the instrument position is proposed. It is shown to be an effective means to reduce the correlation between the rangefinder offset and the scanner position parameters. Fourth, the roles of several other influencing variables on parameter correlation are revealed. The paper concludes with a set of recommended design measures to reduce parameter correlation in terrestrial laser scanner self-calibration. Numéro de notice : A2010-232 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.09.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30426
in ISPRS Journal of photogrammetry and remote sensing > vol 65 n° 1 (January - February 2010) . - pp 93 - 102[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2010011 SL Revue Centre de documentation Revues en salle Disponible 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 Allemagne 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 3D builbing reconstruction from lidar based on a cell decomposition approach / Martin Kada (01/12/2009)
contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : 3D builbing reconstruction from lidar based on a cell decomposition approach Type de document : Article/Communication Auteurs : Martin Kada, Auteur ; L. Mckinley, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 01/12/2009 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 47 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Berlin
[Termes IGN] Cologne
[Termes IGN] données lidar
[Termes IGN] plan cadastral
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] texturage
[Termes IGN] toit
[Termes IGN] villeRésumé : (Auteur) The reconstruction of 3D city models has matured in recent years from a research topic and niche market to commercial products and services. When constructing models on a large scale, it is inevitable to have reconstruction tools available that offer a high level of automation and reliably produce valid models within the required accuracy. In this paper, we present a 3D building reconstruction approach, which produces LOD2 models from existing ground plans and airborne LIDAR data. As well-formed roof structures are of high priority to us, we developed an approach that constructs models by assembling building blocks from a library of parameterized standard shapes. The basis of our work is a 2D partitioning algorithm that splits a building's footprint into nonintersecting, mostly quadrangular sections. A particular challenge thereby is to generate a partitioning of the footprint that approximates the general shape of the outline with as few pieces as possible. Once at hand, each piece is given a roof shape that best fits the LIDAR points in its area and integrates well with the neighbouring pieces. An implementation of the approach is used now for quite some time in a production environment and many commercial projects have been successfully completed. The second part of this-paper reflects the experiences that we have made with this approach working on the 3D reconstruction of the entire cities of East Berlin and Cologne. Numéro de notice : C2009-007 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_47.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65047 Augmenting the Iterative Closest Point (ICP) alignment algorithm with intensity / S. Hefford in Geomatica, vol 63 n° 4 (December 2009)PermalinkFinding anomalies in high-density Lidar point clouds / J. Harrison in Geomatica, vol 63 n° 4 (December 2009)PermalinkDe la modélisation tridimensionnelle au SIG 3D / Mirko Peripimeno in Géomatique expert, n° 72 (01/12/2009)PermalinkRelevé, modélisation 3D et intégration SIG d'ouvrages d'art pour le projet Genève 3D / David Desbuisson in XYZ, n° 121 (décembre 2009 - février 2010)PermalinkA simplified analytical model for a-priori Lidar pointpositioning error estimation and a review of Lidar error source / Mihaela Triglav Cekada in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 12 (December 2009)PermalinkThe building shadow problem of airborne lidar / T.Y. Shih in Photogrammetric record, vol 24 n° 128 (December 2009 - February 2010)Permalinkvol 45 n° 4 - novembre 2009 - Aerial and spatial archeology : From the historical photographs to lidar (part 1) (Bulletin de Photo interprétation, European journal of applied remote sensing) / Rosa LasaponaraPermalinkGeneration and application of rules for quality dependent facade reconstruction / S. Becker in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)PermalinkAdvanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest / Adrien Chauve in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)Permalinkvol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 (Bulletin de International Journal of Remote Sensing IJRS) / Ronald E. McRobertsPermalink