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Efficient implementation techniques for topological predicates on complex spatial objects / R. Praing in Geoinformatica, vol 12 n° 3 (September - November 2008)
[article]
Titre : Efficient implementation techniques for topological predicates on complex spatial objects Type de document : Article/Communication Auteurs : R. Praing, Auteur ; Monique Schneider, Auteur Année de publication : 2008 Article en page(s) : pp 313 - 356 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] arbre de décision
[Termes IGN] données vectorielles
[Termes IGN] implémentation (informatique)
[Termes IGN] matrice
[Termes IGN] méthode robuste
[Termes IGN] objet géographique complexe
[Termes IGN] optimisation (mathématiques)
[Termes IGN] prédicat
[Termes IGN] relation topologiqueRésumé : (Auteur) Topological relationships like overlap, inside, meet, and disjoint uniquely characterize the relative position between objects in space. For a long time, they have been a focus of interdisciplinary research as in artificial intelligence, cognitive science, linguistics, robotics, and spatial reasoning. Especially as predicates, they support the design of suitable query languages for spatial data retrieval and analysis in spatial database systems and geographical information systems. While, to a large extent, conceptual aspects of topological predicates (like their definition and reasoning with them) as well as strategies for avoiding unnecessary or repetitive predicate executions (like predicate migration and spatial index structures) have been emphasized, the development of robust and efficient implementation techniques for them has been largely neglected. Especially the recent design of topological predicates for all combinations of complex spatial data types has resulted in a large increase of their numbers and stressed the importance of their efficient implementation. The goal of this article is to develop correct and efficient implementation techniques of topological predicates for all combinations of complex spatial data types including two-dimensional point, line, and region objects, as they have been specified by different authors and in different commercial and public domain software packages. Our solution consists of two phases. In the exploration phase, for a given scene of two spatial objects, all topological events like intersection and meeting situations are summarized in two precisely defined topological feature vectors (one for each argument object of a topological predicate) whose specifications are characteristic and unique for each combination of spatial data types. These vectors serve as input for the evaluation phase which analyzes the topological events and determines the Boolean result of a topological predicate (predicate verification) or the kind of topological predicate (predicate determination) by a formally defined method called nine-intersection matrix characterization. Besides this general evaluation method, the article presents an optimized method for predicate verification, called matrix thinning, and an optimized method for predicate determination, called minimum cost decision tree. The methods presented in this article are applicable to all known complete collections of mutually exclusive topological predicates that are formally based on the well known nine-intersection model. Copyright Springer Numéro de notice : A2008-283 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-007-0035-y En ligne : https://doi.org/10.1007/s10707-007-0035-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29276
in Geoinformatica > vol 12 n° 3 (September - November 2008) . - pp 313 - 356[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-08031 RAB Revue Centre de documentation En réserve L003 Disponible Generalization-oriented road line classification by means of an artificial neural network / J.L. Garcia Balboa in Geoinformatica, vol 12 n° 3 (September - November 2008)
[article]
Titre : Generalization-oriented road line classification by means of an artificial neural network Type de document : Article/Communication Auteurs : J.L. Garcia Balboa, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2008 Article en page(s) : pp 289 - 312 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] acquisition de connaissances
[Termes IGN] analyse en composantes principales
[Termes IGN] apprentissage dirigé
[Termes IGN] axe médian
[Termes IGN] classification par réseau neuronal
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] matrice d'erreur
[Termes IGN] objet géographique linéaire
[Termes IGN] route
[Termes IGN] segmentation
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) In line generalization, a first goal to achieve is the classification of features previous to the selection of processes and parameters. A feed forward backpropagation artificial neural network (ANN) is designed for classifying a set of road lines through a supervised learning process, attempting to emulate a classification performed by a human expert for cartographic generalization purposes. The main steps of the process are presented in this paper: (a) experimental data selection; (b) segmentation of lines into homogeneous sections, (c) sections enrichment through a set of quantitative measures derived from a principal component analysis, and qualitative information derived from road network and road type; (d) expert classification of the sections; and finally (e) the ANN design, training and validation. The quality of results is analyzed by means of error matrices after a cross-validation process giving a goodness, or percentage of agreement, over 83%. Copyright Springer Numéro de notice : A2008-282 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-007-0026-z En ligne : https://doi.org/10.1007/s10707-007-0026-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29275
in Geoinformatica > vol 12 n° 3 (September - November 2008) . - pp 289 - 312[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-08031 RAB Revue Centre de documentation En réserve L003 Disponible Using neural networks and cellular automata for modelling intra-urban land-use dynamics / C.M. Almeida in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)
[article]
Titre : Using neural networks and cellular automata for modelling intra-urban land-use dynamics Type de document : Article/Communication Auteurs : C.M. Almeida, Auteur ; J.M. Gleriani, Auteur ; E.F. Castejon, Auteur ; B.S. Soares-Filho, Auteur Année de publication : 2008 Article en page(s) : pp 943 - 963 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] automate cellulaire
[Termes IGN] milieu urbain
[Termes IGN] modèle de simulation
[Termes IGN] planification urbaine
[Termes IGN] réseau neuronal artificiel
[Termes IGN] Sao Paulo
[Termes IGN] utilisation du sol
[Termes IGN] villeRésumé : (Auteur) Empirical models designed to simulate and predict urban land-use change in real situations are generally based on the utilization of statistical techniques to compute the land-use change probabilities. In contrast to these methods, artificial neural networks arise as an alternative to assess such probabilities by means of non-parametric approaches. This work introduces a simulation experiment on intra-urban land-use change in which a supervised back-propagation neural network has been employed in the parameterization of several biophysical and infrastructure variables considered in the simulation model. The spatial land-use transition probabilities estimated thereof feed a cellular automaton (CA) simulation model, based on stochastic transition rules. The model has been tested in a medium-sized town in the Midwest of Sao Paulo State, Piracicaba. A series of simulation outputs for the case study town in the period 1985-1999 were generated, and statistical validation tests were then conducted for the best results, based on fuzzy similarity measures. Copyright Taylor & Francis Numéro de notice : A2008-310 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701731168 En ligne : https://doi.org/10.1080/13658810701731168 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29303
in International journal of geographical information science IJGIS > vol 22 n° 8-9 (august 2008) . - pp 943 - 963[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08051 RAB Revue Centre de documentation En réserve L003 Disponible 079-08052 RAB Revue Centre de documentation En réserve L003 Disponible A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis / Y. Liu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
[article]
Titre : A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; Q. Guo, Auteur ; M. Kelly, Auteur Année de publication : 2008 Article en page(s) : pp 461 - 475 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] classification automatique d'objets
[Termes IGN] exhaustivité des données
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] objet géographique zonal
[Termes IGN] objet mobile
[Termes IGN] prise en compte du contexte
[Termes IGN] relation topologique
[Termes IGN] segmentation d'imageRésumé : (Auteur) Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis. Copyright ISPRS Numéro de notice : A2008-327 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.01.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29320
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 461 - 475[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08041 SL Revue Centre de documentation Revues en salle Disponible Un algorithme génétique pour le transport à la demande en convergence : application au territoire de la communauté d'agglomération du Pays de Montbéliard / R. Chevrier in Revue internationale de géomatique, vol 18 n° 2 (juin - aout 2008)
[article]
Titre : Un algorithme génétique pour le transport à la demande en convergence : application au territoire de la communauté d'agglomération du Pays de Montbéliard Type de document : Article/Communication Auteurs : R. Chevrier, Auteur ; E. Castex, Auteur ; Didier Josselin, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 239 - 265 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] algorithme génétique
[Termes IGN] arbre de décision
[Termes IGN] communauté d'agglomération
[Termes IGN] convergence
[Termes IGN] Montbéliard
[Termes IGN] transport collectif
[Termes IGN] transport routierRésumé : (Auteur) La recherche pluridisciplinaire exposée ici réunit informaticiens et géographes pour développer un transport à la demande (TAD) basé à la fois sur des considérations informatiques mais également géographiques, comme la convergence des flux issue du caractère polarisé du territoire. Après une typologie et une cartographie des TAD en convergence en France, nous présentons quelques méthodes informatiques adressant le Diala-Ride Problem (DARP). Nous donnons ensuite une méthode algorithmique génétique de résolution du DARP basée sur la convergence des flux et les arbres couvrants tentaculaires. Nous terminons en discutant des résultats simulatoires et réels issus d'une expérimentation sur le Pays-de-Montbéliard. Copyright Lavoisier Numéro de notice : A2008-160 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/geo.18.239-265 En ligne : https://doi.org/10.3166/geo.18.239-265 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29155
in Revue internationale de géomatique > vol 18 n° 2 (juin - aout 2008) . - pp 239 - 265[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-08021 RAB Revue Centre de documentation En réserve L003 Disponible 047-08022 RAB Revue Centre de documentation En réserve L003 Disponible Land-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling / F. Yuan in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)PermalinkThe application of artificial neural networks to the analysis of remotely sensed data / J.F. Mas in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)PermalinkCapture de layers durant une session dans un globe virtuel / G. Mazabraud (2008)PermalinkCSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)PermalinkÉtude comparative de différentes méthodes d'estimation / Samuel Nahmani (2008)PermalinkBorder vector detection and adaptation for classification of multispectral and hyperspectral remote sensing images / N.G. Kasapoglu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkRévision des connaissances d'un processus de généralisation de données géographiques / Patrick Taillandier in Le monde des cartes, n° 194 (décembre 2007)PermalinkA supervised artificial immune classifier for remote-sensing imagery / Y. Zhong in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkVisibility prediction based on artificial neural networks used in automatic network design / M. Saadatseresht in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)PermalinkFeature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium / F.M.B. Van Coillie in Remote sensing of environment, vol 110 n° 4 (30/10/2007)Permalink