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Extension de l’étiquetage géographique des pixels d’une image par fouille de données / Adrien Gressin in Revue des Nouvelles Technologies de l'Information, E.26 ([23/01/2014])
[article]
Titre : Extension de l’étiquetage géographique des pixels d’une image par fouille de données Type de document : Article/Communication Auteurs : Adrien Gressin , Auteur ; Nicole Vincent, Auteur ; Clément Mallet , Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2014 Conférence : EGC 2014, 14es journées francophones Extraction et Gestion des Connaissances 28/01/2014 31/01/2014 Rennes France sommaire Article en page(s) : pp 509 - 512 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] emprise au sol
[Termes IGN] exploration d'images
[Termes IGN] méthode robuste
[Termes IGN] pixel
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] segmentation sémantiqueRésumé : (auteur) Les techniques de classification modernes permettent d’étiqueter les zones non couvertes des bases de données cartographiques, mais souffrent d’un manque de robustesse important. Dans cet article, nous proposons une méthode robuste d’extension d’étiquetage sur l’emprise d’une image satellite, par analyse hiérarchique des données existantes. Notre approche est fondée sur une sélection d’attributs par thème de la base de données, une sélection des pixels d’apprentissage et des classifications par objet de chaque thème. La décision finale d’étiquetage est prise après fusion des classifications par thème. Notre méthode est appliquée avec succès et comparée à plusieurs méthodes de classification, couplant données d’occupation du sol et imagerie spatiale très haute résolution. Numéro de notice : A2014-665 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://editions-rnti.fr/?inprocid=1001966 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99601
in Revue des Nouvelles Technologies de l'Information > E.26 [23/01/2014] . - pp 509 - 512[article]Documents numériques
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Extension de l’étiquetage géographique ... - pdf auteurAdobe Acrobat PDF Active learning of user’s preferences estimation towards a personalized 3D navigation of geo-referenced scenes / Christos Yiakoumettis in Geoinformatica, vol 18 n° 1 (January 2014)
[article]
Titre : Active learning of user’s preferences estimation towards a personalized 3D navigation of geo-referenced scenes Type de document : Article/Communication Auteurs : Christos Yiakoumettis, Auteur ; Nikolaos Doulamis, Auteur ; Georgios Miaoulis, Auteur ; Djamchid Ghazanfarpour, Auteur Année de publication : 2014 Article en page(s) : pp 27 - 62 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] algorithme génétique
[Termes IGN] apprentissage dirigé
[Termes IGN] Athènes
[Termes IGN] exploration de données
[Termes IGN] itinéraire
[Termes IGN] métadonnées
[Termes IGN] navigation
[Termes IGN] ontologie
[Termes IGN] optimisation (mathématiques)
[Termes IGN] personnalisation
[Termes IGN] pondération
[Termes IGN] réalité virtuelle
[Termes IGN] système d'information géographique
[Termes IGN] utilisateurRésumé : (Auteur) The current technological evolutions enter 3D geo-informatics into their digital age, enabling new potential applications in the field of virtual tourism, pleasure, entertainment and cultural heritage. It is argued that 3D information provides the natural way of navigation. However, personalization is a key aspect in a navigation system, since a route that incorporates user preferences is ultimately more suitable than the route with the shortest distance or travel time. Usually, user’s preferences are expressed as a set of weights that regulate the degree of importance of the scene metadata on the route selection process. These weights, however, are defined by the users, setting the complexity to the user’s side, which makes personalization an arduous task. In this paper, we propose an alternative approach in which metadata weights are estimated implicitly and transparently to the users, transferring the complexity to the system side. This is achieved by introducing a relevance feedback on-line learning strategy which automatically adjusts metadata weights by exploiting information fed back to the system about the relevance of user’s preferences judgments given in a form of pair-wise comparisons. Practically implementing a relevance feedback algorithm presents the limitation that several pair-wise comparisons (samples) are required to converge to a set of reliable metadata weights. For this reason, we propose in this paper a weight rectification strategy that improves weight estimation by exploiting metadata interrelations defined through an ontology. In the sequel, a genetic optimization algorithm is incorporated to select the most user preferred routes based on a multi-criteria minimization approach. To increase the degree of personalization in 3D navigation, we have also introduced an efficient algorithm for estimating 3D trajectories around objects of interest by merging best selected 2D projected views that contain faces which are mostly preferred by the users. We have conducted simulations and comparisons with other approaches either in the field of on-line learning or route selection using objective metrics in terms of precision and recall values. The results indicate that our system yields on average a 13.76 % improvement of precision as regards the learning strategy and an improvement of 8.75 % regarding route selection. In addition, we conclude that the ontology driven weight rectification strategy can reduce the number of samples (pair-wise comparisons) required of 76 % to achieve the same precision. Qualitative comparisons have been also performed using a use case route scenario in the city of Athens. Numéro de notice : A2014-027 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10707-013-0176-0 Date de publication en ligne : 12/04/2013 En ligne : https://doi.org/10.1007/s10707-013-0176-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32932
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Titre : Automatische Interpretation von Semantik aus digitalen Karten im World Wide Web Type de document : Thèse/HDR Auteurs : Fen Luo, Auteur ; Dieter Fritsch, Directeur de thèse ; Ralf Bill, Directeur de thèse Editeur : Stuttgart : Institüt für Photogrammetrie der Universität Stuttgart Année de publication : 2014 Note générale : bibliographie
Von der Fakultät Luft- und Raumfahrttechnik und Geodäsie der Universität Stuttgart zur Erlangung der Würde eines Doktors der Ingenieurwissenschaften (Dr.-Ing.) genehmigte AbhandlungLangues : Allemand (ger) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] carte de Kohonen
[Termes IGN] données maillées
[Termes IGN] données vectorielles
[Termes IGN] échelle cartographique
[Termes IGN] exploration de données géographiques
[Termes IGN] objet géographique
[Termes IGN] réseau neuronal artificiel
[Termes IGN] toile d'araignée mondialeRésumé : (auteur) On the Internet there are innumerable spatial data representing different sections of the world in form of raster and vector maps. The information contained in these maps is not automatically discoverable, since it is encoded by means of certain map elements. Its semantics is not explicit unless interpreted by an observer. However, the map information can be interpreted by not only humans but also ma-chines. This already requires the large amount of data to be interpreted. We are going to summarize the automatic derivation of semantics from the maps in terms of automatic map interpretation. It involves a process of making the implicit information of a map inventory explicit. For this purpose we present the map interpretation as solutions.
The map interpretation of the current study is done with vector maps what can be found on the internet. For the targeted search of vector maps of the internet, a web crawler is specially developed. The web crawler is a search engine that specifically looks for vector maps. For this, exclusively the shapefile format is sought, which has become a standard format in the GIS environment and in which the vector maps are usually stored. In order to find shapefiles as many as possible, the search is carried out on servers where the probability of finding shapefiles is high. These servers were previously found through the keyword “shapefile download” by Google search.
The maps interpretation includes methods of interpretation of the map objects, of the map types, and of the map scale. First, we will introduce the method of interpreting the map objects. Our aim is to automatically detect the objects based on their specific characteristics. The object recognition is based on self-organizing map (SOM) that is borrowed from artificial intelligence. The map objects are clas-sified into, for example, building floor plan and road network. Its own characteristics should be found for each class and brought in one of the accessible forms of SOM, in this case, a parameter vector. The parameter vectors form the input patterns that are learned in the training phase of SOM. After the input patterns of all object classes of SOM have been learned, the parameter vector is evaluated for each of the present objects on the map and given to the SOM. By the previously successful learning of the input pattern, the objects can be assigned based on each of their calculated parameter vectors of the corresponding object class.
The interpretation of map type is presented as another method. Maps are categorized into different types according to their substantive content and purpose, such as river maps, road maps, contour maps, etc. As for the interpretation of objects, SOM is used here. Hence the input patterns will also be learned which represent the geometric characteristics of the map types. The characteristics arise from both the structure of individual objects and the topology between objects on a map. Now, with a given map in the SOM, the SOM recognizes the appropriate map type according to the learned input pattern. In addition, one obtains the filenames of the maps as well as the content of the website where the map was found. In the present thesis we also investigated how this additional information can help in the interpretation of map type.
The automatic interpretation of the map scale is a further method in addition to the interpretation of the map objects and map types, which is discussed in the present thesis. The interpretation of the map scale is implemented in two ways: the multi-representation and the details grade. In the former case, the scale of the relevant representation can be derived, where an identical object in different realistic representations on the map is shown; while in the latter case, the scale is derived from the details grade, on the basis of the fact that maps with different scales are displayed on different levels of details.Numéro de notice : 17347 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère DOI : sans En ligne : http://doi.org/10.18419/opus-3960 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83706
Titre : Foundations of Fuzzy Logic and Semantic Web Languages Type de document : Monographie Auteurs : Umberto Straccia, Auteur Editeur : Londres, New York, Tokyo : Chapman & Hall Année de publication : 2014 Importance : 386 p. ISBN/ISSN/EAN : 978-0-429-10961-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] exploration de données
[Termes IGN] format d'échange
[Termes IGN] logique floue
[Termes IGN] métadonnées
[Termes IGN] ontologie
[Termes IGN] OWL
[Termes IGN] RDF
[Termes IGN] SPARQL
[Termes IGN] web sémantiqueRésumé : (éditeur) Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic Web languages. The book focuses on the three main streams of Semantic Web languages:
- Triple languages RDF and RDFS
- Conceptual languages OWL and OWL 2, and their profiles OWL EL, OWL QL, and OWL RL
- Rule-based languages, such as SWRL and RIF
Written by a prominent researcher in this area, the book is the first to combine coverage of fuzzy logic and Semantic Web languages. The first part of the book covers all the theoretical and logical aspects of classical (two-valued) Semantic Web languages. The second part explains how to generalize these languages to cope with fuzzy set theory and fuzzy logic. With an extensive bibliography, this book provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and fuzzy logic experts. It also helps researchers of non-Semantic Web languages get a better understanding of the theoretical fundamentals of Semantic Web languages.Note de contenu : Introduction
- Resource Description Language RDF & RDF Schema
- Web Ontology Language OWL
- Rule Languages
- Query Languages for SWL-based Knowledge Bases
- Fuzzy Sets and Mathematical Fuzzy Logic Basics
- Fuzzy RDF & RDFS
- Fuzzy OWL
- Fuzzy Rule LanguagesNuméro de notice : 25744 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Monographie En ligne : https://www.taylorfrancis.com/books/e/9780429109614 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95238
Titre : How to visualize the geography of Swiss history Type de document : Article/Communication Auteurs : André Bruggmann, Auteur ; Sara Irina Fabrikant, Auteur Editeur : Association of Geographic Information Laboratories in Europe AGILE Année de publication : 2014 Conférence : AGILE 2014, 17th International Conference on Geographic Information Science, Connecting a digital Europe through location and place 03/06/2014 06/06/2014 Castellon Espagne Open access proceedings Importance : 6 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] exploration de texte
[Termes IGN] histoire
[Termes IGN] recherche d'information géographique
[Termes IGN] Suisse
[Termes IGN] toponyme
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Efficient and effective access to and knowledge construction from massively growing spatial and non-spatial databases available online today have become major bottlenecks for the rapidly evolving information society at large. We present a geovisual analytics framework to deal with spatio-temporal knowledge extraction from rapidly growing, and increasingly massive, digital text databases largely untapped for spatio-temporal analyses. Our interdisciplinary, theory-driven approach combines text data mining methods, currently employed in GIScience and geovisual analytics, to re-organize and visualize a semi-structured online dictionary about Swiss history, made available to the general public. We automatically extract spatial, temporal, and thematic information from the text archive, and make it visually available to an information seeker interested in Swiss history, through empirically validated spatialization display techniques (e.g., network visualizations and self-organizing maps). In this case study, we specifically illustrate how spatial relationships between Swiss toponyms can be extracted, analyzed, and visualized using our proposed approach. With this interdisciplinary geovisual analytics approach situated at the nexus of digital humanities, information science, and GIScience we hope to provide new transdisciplinary solutions to facilitate information extraction of and knowledge generation from information buried in vast unstructured text archives. Numéro de notice : C2014-020 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81043 Documents numériques
en open access
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