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A back-propagation neural network-based approach for multi-represented feature matching in update propagation / Yanxia Wang in Transactions in GIS, vol 19 n° 6 (December 2015)
[article]
Titre : A back-propagation neural network-based approach for multi-represented feature matching in update propagation Type de document : Article/Communication Auteurs : Yanxia Wang, Auteur ; Deng Chen, Auteur ; Zhiyuan Zhao, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 964 – 993 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de données localisées
[Termes IGN] apprentissage automatique
[Termes IGN] Chine
[Termes IGN] mise à jour de base de données
[Termes IGN] objet géographique zonal
[Termes IGN] pondération
[Termes IGN] représentation multiple
[Termes IGN] réseau neuronal artificielRésumé : (auteur) Spatial data infrastructures, which are characterized by multi-represented datasets, are prevalent throughout the world. The multi-represented datasets contain different representations for identical real-world entities. Therefore, update propagation is useful and required for maintaining multi-represented datasets. The key to update propagation is the detection of identical features in different datasets that represent corresponding real-world entities and the detection of changes in updated datasets. Using polygon features of settlements as examples, this article addresses these key problems and proposes an approach for multi-represented feature matching based on spatial similarity and a back-propagation neural network (BPNN). Although this approach only utilizes the measures of distance, area, direction and length, it dynamically and objectively determines the weight of each measure through intelligent learning; in contrast, traditional approaches determine weight using expertise. Therefore, the weight may be variable in different data contexts but not for different levels of expertise. This approach can be applied not only to one-to-one matching but also to one-to-many and many-to-many matching. Experiments are designed using two different approaches and four datasets that encompass an area in China. The goals are to demonstrate the weight differences in different data contexts and to measure the performance of the BPNN-based feature matching approach. Numéro de notice : A2015--077 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12138 En ligne : http://dx.doi.org/10.1111/tgis.12138 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81352
in Transactions in GIS > vol 19 n° 6 (December 2015) . - pp 964 – 993[article]Fusion of multi-scale DEMs using a regularized super-resolution method / Linwei Yue in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)
[article]
Titre : Fusion of multi-scale DEMs using a regularized super-resolution method Type de document : Article/Communication Auteurs : Linwei Yue, Auteur ; Huanfeng Shen, Auteur ; Qiangqiang Yuan, Auteur ; Liangpei Zhang, Auteur Année de publication : 2015 Article en page(s) : pp 2095 - 2120 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] couverture (données géographiques)
[Termes IGN] données multisources
[Termes IGN] modèle numérique de terrain
[Termes IGN] représentation multipleRésumé : (Auteur) The digital elevation model (DEM) is a significant digital representation of a terrain surface. Although a variety of DEM products are available, they often suffer from problems varying in spatial coverage, data resolution, and accuracy. However, the multi-source DEMs often contain supplementary information, which makes it possible to produce a higher-quality DEM through blending the multi-scale data. Inspired by super-resolution (SR) methods, we propose a regularized framework for the production of high-resolution (HR) DEM data with extended coverage. To deal with the registration error and the horizontal displacement among multi-scale measurements, robust data fidelity with weighted norm is employed to measure the conformance of the reconstructed HR data to the observed data. Furthermore, a slope-based Markov random field (MRF) regularization is used as the spatial regularization. The proposed method can simultaneously handle complex terrain features, noises, and data voids. Using the proposed method, we can reconstruct a seamless DEM data with the highest resolution among the input data, and an extensive spatial coverage. The experiments confirmed the effectiveness of the proposed method under different cases. Numéro de notice : A2015-620 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1063639 En ligne : https://doi.org/10.1080/13658816.2015.1063639 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78089
in International journal of geographical information science IJGIS > vol 29 n° 12 (December 2015) . - pp 2095 - 2120[article]
[article]
Titre : Maps and the meaning of the cloud Type de document : Article/Communication Auteurs : Michael P. Peterson, Auteur Année de publication : 2015 Article en page(s) : pp 238 - 247 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] base de données multi-représentation
[Termes IGN] carte interactive
[Termes IGN] cartographie animée
[Termes IGN] cartographie par internet
[Termes IGN] conception cartographique
[Termes IGN] formation
[Termes IGN] informatique en nuage
[Termes IGN] représentation multipleRésumé : (auteur) In its long history, cartography has always been at the forefront of adapting to new tools. The computer, first introduced 60 years ago, has represented perhaps the greatest change in how maps are made. The further combination of computers and communication technology changed how maps are distributed – and how they are used. Maps became more interactive and animated. The cloud, the nexus of computers and communication technology, is the most recent symbol of this change. While often simply defined as using the processing and storage capacity of data centres, the cloud is interpreted here as representing a workspace for the continued development of maps as a form of both analysis and communication. Examined are the development and formation of the cloud, the distribution of multi-scale pan-able (MSP) maps, and other related areas of cloud cartography. Numéro de notice : A2015-872 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.51.1.3154 En ligne : http://www.utpjournals.press/doi/full/10.3138/cart.51.1.3154 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79360
in Cartographica > vol 50 n° 4 (Winter 2015) . - pp 238 - 247[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2015041 RAB Revue Centre de documentation En réserve L003 Disponible Knowledge formalization for vector data matching using belief theory / Ana-Maria Olteanu-Raimond in Journal of Spatial Information Science, JoSIS, n° 10 (2015)
[article]
Titre : Knowledge formalization for vector data matching using belief theory Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Anne Ruas , Auteur Année de publication : 2015 Article en page(s) : pp 21 - 46 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse multicritère
[Termes IGN] appariement de données localisées
[Termes IGN] données vectorielles
[Termes IGN] formalisation
[Termes IGN] objet géographique linéaire
[Termes IGN] objet géographique ponctuel
[Termes IGN] représentation multiple
[Termes IGN] théorie de Dempster-ShaferRésumé : (auteur) Nowadays geographic vector data is produced both by public and private institutions using well defined specifications or crowdsourcing via Web 2.0 mapping portals. As a result, multiple representations of the same real world objects exist, without any links between these different representations. This becomes an issue when integration, updates, or multi-level analysis needs to be performed, as well as for data quality assessment. In this paper a multi-criteria data matching approach allowing the automatic definition of links between identical features is proposed. The originality of the approach is that the process is guided by an explicit representation and fusion of knowledge from various sources. Moreover the imperfection (imprecision, uncertainty, and incompleteness) is explicitly modeled in the process. Belief theory is used to represent and fuse knowledge from different sources, to model imperfection, and make a decision. Experiments are reported on real data coming from different producers, having different scales and either representing relief (isolated points) or road networks (linear data). Numéro de notice : A2015-538 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5311/JOSIS.2015.10.194 En ligne : http://dx.doi.org/10.5311/JOSIS.2015.10.194 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78776
in Journal of Spatial Information Science, JoSIS > n° 10 (2015) . - pp 21 - 46[article]Documents numériques
en open access
A2015-538-194-596-3-PB.pdfAdobe Acrobat PDF Symbolization and generalization to map water pipe data flow and water quality at different scales / Anne Ruas in Cartographic journal (the), Vol 52 n° 2 (May 2015)
[article]
Titre : Symbolization and generalization to map water pipe data flow and water quality at different scales Type de document : Article/Communication Auteurs : Anne Ruas , Auteur ; Ha Pham, Auteur Année de publication : 2015 Article en page(s) : pp 149 - 158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] conception cartographique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] niveau de détail
[Termes IGN] pollution des eaux
[Termes IGN] représentation multiple
[Termes IGN] réseau de distribution d'eau
[Termes IGN] réseau technique souterrain
[Termes IGN] visualisation cartographique
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Mapping drinking water flow is a real challenge not only to detect water leaks but also to control the quality of the water. In France, 900,000 km of water pipe serves 99% of the population. A recent law imposes the mapping of these pipelines on a known geographical system with a planar positional accuracy from 0.4 to 1.5 m according to the age and type of the pipeline. Wireless sensors and models based on computational fluid mechanics (CFD) allow to study flow and to reconstruct parameters such as velocity, pressure and a chemical concentration at each point. This information can be used to detect leaks and to control the concentration of chlorine or other chemical products. However, this information is not easy to map on GIS due to the small width of water pipe and the very high quantity of points necessary for data flow computation. In this research work, we propose solutions to map this information at different levels of detail with other information such as roads and buildings. We first propose to use area symbols instead of punctual symbols to improve zoom-in visual effects. We also propose to generalize initial water data for zoom-out processes. We use the axis of the water pipe as basic geometry and we segment it. We then compute a generalized value of pressure, velocity or chemical concentration for each segment with specific function adapted to the property we wish to study. We propose a conceptual data schema that describes the required information to map this data at different levels of detail. The solution has been fully implemented on experimental data and illustrated by means of a dedicated web mapping that proposes a set of GIS functions such as the selection of the data, zooming functions but also the animation to see the propagation of a chemical product in the water pipe. Numéro de notice : A2015-767 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2015.1119465 En ligne : http://dx.doi.org/10.1080/00087041.2015.1119465 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78821
in Cartographic journal (the) > Vol 52 n° 2 (May 2015) . - pp 149 - 158[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2015021 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkCas d'utilisation des cartes de randonnées avec représentation à symboles multiples / Olivia Gautrais (2015)PermalinkA framework to formalize multi-scales land-use generalization in the ScaleMaster 2.0 / Jean-François Girres (2015)PermalinkManifold-based sparse representation for hyperspectral image classification / Yuan Yan Tang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 12 (December 2014)PermalinkAbstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)PermalinkAbstracting geographic information in a data rich world, ch. 3. Modelling geographic relationships in automated environments / Guillaume Touya (2014)PermalinkPermalinkRepresentation of interactions in a multi-level multi-agent model for cartography constraint solving / Adrien Maudet (2014)PermalinkUsing pattern-oriented modeling (POM) to cope with uncertainty in multi-scale agent-based models of land change / Nicholas R. Magliocca in Transactions in GIS, vol 17 n° 6 (December 2013)PermalinkMulti-level representation of terrain features on a contour map / Eric Guilbert in Geoinformatica, vol 17 n° 2 (April 2013)Permalink