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CollaGen : Collaboration between automatic cartographic generalisation processes / Guillaume Touya (2011)
contenu dans Advances in cartography and GIScience: selection from ICC [International Cartographic Conference] 2011, Volume 1. Conference proceedings / Anne Ruas (2011)
Titre : CollaGen : Collaboration between automatic cartographic generalisation processes Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Cécile Duchêne , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2011 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : ICC 2011, 25th International Cartographic Conference and 15th ICA General Assembly 03/07/2011 08/07/2011 Paris France OA Proceedings Importance : pp 541 - 558 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] CollaGen (généralisation collaborative)
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] partition des données
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Cartographic generalisation seeks to summarise geographical information to produce legible maps at smaller scales. Past research led to the develop-ment of many automated cartographic generalisation processes, each one being more or less specialised to a particular problem: a landscape like urban areas, a data theme like land use, a cartographic conflict like linear symbol overlap or most of the time of mix of the three. This paper deals with the development of a model allowing collaborative generalisation i.e. the collaboration between automatic processes like these in order to tackle the generalisation of a complete map. CollaGen, our proposed model, allows to partition data in geographic spaces and to find to best suited process to generalise each space. The applications of a process on a space are automatically orchestrated. Interoperability between processes is managed thanks to formal constraints and side effects are monitored after each pro-cess application. Results from CollaGen prototype are shown and discussed. Numéro de notice : C2011-004 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-19143-5_30 Date de publication en ligne : 09/04/2011 En ligne : http://dx.doi.org/10.1007/978-3-642-19143-5_30 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65075 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 de série : Encyclopedia of Solid Earth Geophysics Titre : Satellite Laser Ranging Type de document : Chapitre/Contribution Auteurs : David Coulot , Auteur ; Florent Deleflie, Auteur ; Pascal Bonnefond, Auteur ; Pierre Exertier, Auteur ; Olivier Laurain, Auteur ; Bertrand de Saint-Jean , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2011 Langues : Anglais (eng) Descripteur : [Termes IGN] télémétrie laser sur satellite Résumé : (auteur) [introduction] The Satellite Laser Ranging (SLR) technique was born in 1964, with the first returns obtained from the satellite Beacon Explorer B. Since the launch of the first dedicated laser satellite Starlette in 1975 (Schutz et al., 1993; Barlier and Lefebvre, 2001), SLR has provided range measurements which have been the foundations of, not only precise orbit computations, but also major geodetic products, fundamental for many Geosciences applications. [...] Numéro de notice : H2011-010 Affiliation des auteurs : LAREG+Ext (1991-2011) Autre URL associée : vers HAL Thématique : POSITIONNEMENT Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-90-481-8702-7_98 Date de publication en ligne : 27/08/2014 En ligne : https://doi.org/10.1007/978-90-481-8702-7_98 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101484 Estimating meteorological visibility using cameras: A probabilistic model-driven approach / Nicolas Hautière (2011)
Titre : Estimating meteorological visibility using cameras: A probabilistic model-driven approach Type de document : Article/Communication Auteurs : Nicolas Hautière, Auteur ; Raouf Babari, Auteur ; Eric Dumont, Auteur ; Roland Brémont, Auteur ; Nicolas Paparoditis , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2011 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 6495 Conférence : ACCV 2010, 10th Asian Conference on Computer Vision 08/11/2010 12/11/2010 Queenstown Nouvelle-Zélande Proceedings Springer Importance : pp 243 - 254 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] données météorologiques
[Termes IGN] éclairement lumineux
[Termes IGN] modèle stochastique
[Termes IGN] projection Lambert
[Termes IGN] visibilitéRésumé : (auteur) Estimating the atmospheric or meteorological visibility distance is very important for air and ground transport safety, as well as for air quality. However, there is no holistic approach to tackle the problem by camera. Most existing methods are data-driven approaches, which perform a linear regression between the contrast in the scene and the visual range estimated by means of reference additional sensors. In this paper, we propose a probabilistic model-based approach which takes into account the distribution of contrasts in the scene. It is robust to illumination variations in the scene by taking into account the Lambertian surfaces. To evaluate our model, meteorological ground truth data were collected, showing very promising results. This works opens new perspectives in the computer vision community dealing with environmental issues. Numéro de notice : C2010-054 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-19282-1_20 En ligne : https://doi.org/10.1007/978-3-642-19282-1_20 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101400
contenu dans Advances in cartography and GIScience: selection from ICC [International Cartographic Conference] 2011, Volume 1. Conference proceedings / Anne Ruas (2011)
Titre : On-demand cartography for trekkers Type de document : Article/Communication Auteurs : Catherine Dominguès , Auteur ; Charlotte Hoarau , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2011 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : ICC 2011, 25th International Cartographic Conference and 15th ICA General Assembly 03/07/2011 08/07/2011 Paris France OA Proceedings Importance : pp 183 - 203 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] carte sur mesure
[Termes IGN] conception cartographique
[Termes IGN] données localisées des bénévoles
[Termes IGN] langage naturel (informatique)
[Termes IGN] randonnée
[Termes IGN] spécification de contenuRésumé : (Auteur) In this paper, we introduce a method for identifying the specific needs of a community from a user survey, and adapting maps accordingly. This method was applied to four different groups of trekkers: walkers, road cyclists, cross-country bikers, and recreational trekkers. Relevant concepts, criticisms and expectations for each group were identified using natural language processing and lexicometry methods and tools. Suggestions for adapting maps focus on data selection and graphic representation. Pedes-trian trails were emphasized using trail-marking signs as graphical symbols and adding numbers which refer to additional information. Specific trails were added to the cross-country hiking map using the difficulty level indi-cation of ski maps. Moreover, contour lines were highlighted for cross-country bikers to help them to understand relief. The road cyclist map was designed at a 1/50 000 scale with generalized data. The slope of cycling paths was indicated by a diverging color scheme to convey the difficulty of different sections of road. This paper describes part of an on-demand map making process and illustrates it for a specific community, trekkers. It has been shown that it is possible to select data and define radical graphic choices as long as the community is targeted enough to have the same needs and wishes. Numéro de notice : C2011-001 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-19143-5_11 Date de publication en ligne : 09/04/2011 En ligne : http://dx.doi.org/10.1007/978-3-642-19143-5_11 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65072 PermalinkSatellites / Michel Capderou (2011)PermalinkPermalinkNormalizing spatial information to improve geographical information indexing and retrieval in digital libraries / D. Palacio (26/05/2010)PermalinkPermalinkAssessment of a numerical method for computing the spherical harmonic coefficients of the gravitational potential of a constant density polyhedron / Olivier Jamet (2010)PermalinkCollaborative generalisation: formalisation of generalisation knowledge to orchestrate different cartographic generalisation processes / Guillaume Touya (2010)PermalinkDesigning agent behaviour in agent-based simulation through participatory method / Patrick Taillandier (2010)PermalinkPermalinkGeographic information science, 6th international conference, GIScience 2010, Zurich, Switzerland, September 14-17, 2010 / Sara Irina Fabrikant (2010)Permalink