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WebGIS for evaluating walkability environment in urban center of Tsukuba / R. Thapa in Tsukuba geoenvironmental sciences, vol 5 (01/12/2009)
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[article]
Titre : WebGIS for evaluating walkability environment in urban center of Tsukuba Type de document : Article/Communication Auteurs : R. Thapa, Auteur ; Yuji Murayama, Auteur Année de publication : 2009 Article en page(s) : pp 41 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] accessibilité
[Termes IGN] diffusion de données
[Termes IGN] espace vert
[Termes IGN] exploration de données géographiques
[Termes IGN] itinéraire
[Termes IGN] Japon
[Termes IGN] piéton
[Termes IGN] qualité de l'air
[Termes IGN] trajet (mobilité)
[Termes IGN] WebSIGRésumé : (Auteur) This article examines walkability areas in Tsukuba and presents results on the web by creating Walkability WebGIS. ALOS image, Zenrin, and road maps were used for the study. Greenness index was computed to highlight urban greeneries in the walkability areas. A fieldwork was conducted to verify the research results. From well settled to tranquil areas were identified to better inform the walkers or bicycle riders. Walkability routes were further graded into five levels of suitability ranging from very low to very high based on the greenness index. Walkability WebGIS (http://sae.sk.tsukuba.ac.jp/TsukubaWalkability/default. aspx) including easy-to-use help system was developed on ArcGIS Server platform to disseminate the results to the Tsukuba residents. Geographic data exploration tool bar, search and proximity analysis functions were also provided in the system. In this system, the residents can freely explore the maps and use spatial functions to understand their surrounding walkability environments, and print the maps for their daily use. Numéro de notice : 10394 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans En ligne : http://hdl.handle.net/2241/106560 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33409
in Tsukuba geoenvironmental sciences > vol 5 (01/12/2009) . - pp 41 - 45[article]Exploration des propriétés structurelles d'un réseau de transport par combinaison interactive de cartes / Eric Mermet (25/11/2009)
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contenu dans SAGEO 2009, Spatial Analysis and GEOmatics, 25 - 27 novembre 2009, Paris, France / Mauro Gaio (2009)
Titre : Exploration des propriétés structurelles d'un réseau de transport par combinaison interactive de cartes Type de document : Article/Communication Auteurs : Eric Mermet , Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 25/11/2009 Conférence : SAGEO 2009, Spatial Analysis and GEOmatics 25/11/2009 27/11/2009 Paris France Importance : 16 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] carte thématique
[Termes IGN] exploration de données
[Termes IGN] langage graphique
[Termes IGN] réseau de transport
[Termes IGN] structure spatialeRésumé : (Auteur) Les réseaux de transport sont des objets géographiques complexes, stockés dans des bases de données, et contenant les descriptions topologique, géométrique et métrique. Avant toute étude thématique liée à des contextes d'usage d'activités articulées autour du réseau, il est primordial de comprendre la part structurelle qui influe sur un phénomène. Ainsi, dans cet article, nous mettons en place des méthodes permettant l'exploration assistée des propriétés structurelles d'un réseau. Cette approche s'appuie sur 4 paramètres constituant une carte d'exploration : l'espace des relations Origine-Destination, un indicateur permettant l'expression de propriétés relationnelles, la vue du réseau permettant d'agréger des zones et la légende de la carte. A partir de ces concepts, nous mettons en place un langage graphique permettant de créer de nouvelles cartes par combinaisons interactives des paramètres des cartes stockées en mémoire. Numéro de notice : C2009-020 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64302 Documents numériques
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Exploration des propriétés structurelles - pdf éditeurAdobe Acrobat PDFAdaptive registration of remote sensing images using supervised learning / L. Eikvil in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 11 (November 2009)
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[article]
Titre : Adaptive registration of remote sensing images using supervised learning Type de document : Article/Communication Auteurs : L. Eikvil, Auteur ; M. Holden, Auteur ; R.B. Huseby, Auteur Année de publication : 2009 Article en page(s) : pp 1297 - 1306 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement d'images
[Termes IGN] apprentissage dirigé
[Termes IGN] image satellite
[Termes IGN] série temporelle
[Termes IGN] superposition d'imagesRésumé : (Auteur) This paper describes a system for co-registration of time series satellite images which uses a learning-based strategy. During a training phase, the system learns to recognize regions in an image suited for registration. It also learns the relationship between image characteristics and registration performance for a set of different registration algorithms. This enables intelligent selection of an appropriate registration algorithm for each region in the image, while regions unsuited for registration can be discarded. The approach is intended for co-registration of sequences of images acquired from identical or similar earth observation sensors. It has been tested for such sequences from different types of sensors, both optical and radar, with varying resolution. For images with moderate differences in content, the registration accuracy is, in general, good with an RMS error of one pixel or less. Copyright ASPRS Numéro de notice : A2009-442 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.11.1297 En ligne : https://doi.org/10.14358/PERS.75.11.1297 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30073
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 11 (November 2009) . - pp 1297 - 1306[article]Generation 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)
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[article]
Titre : Generation and application of rules for quality dependent facade reconstruction Type de document : Article/Communication Auteurs : S. Becker, Auteur Année de publication : 2009 Article en page(s) : 14 p. ; pp 640 - 653 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] architecture urbaine
[Termes IGN] base de règles
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] façade
[Termes IGN] grammaire de graphes
[Termes IGN] itération
[Termes IGN] lasergrammétrie
[Termes IGN] moteur d'inférence
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] qualité des données
[Termes IGN] reconstruction 3D du bâtiRésumé : (Auteur) Frequently, terrestrial LiDAR and image data are used to extract high resolution building geometry like windows, doors and protrusions for three-dimensional (3D) façade reconstruction. However, such a purely data driven bottom-up modelling of façade structures is only feasible if the available observations meet considerable requirements on data quality. Errors in measurement, varying point densities, reduced accuracies, as well as incomplete coverage affect the achievable correctness and reliability of the reconstruction result. While dependence on data quality is a general disadvantage with data driven bottom-up approaches, model based top-down reconstructions are much more robust. Algorithms introduce knowledge about the appearance and arrangement of objects. Thus, they cope with data uncertainty and allow for a procedural modelling of building structures in a predefined architectural style, which is inherent in grammar or model descriptions. We aim at a quality sensitive façade reconstruction which is on the one hand robust against erroneous and incomplete data, but on the other hand not subject to prespecified rules or models. For this purpose, we combine bottom-up and top-down strategies by integrating automatically inferred rules into a data driven reconstruction process. Façade models reconstructed during a bottom-up method serve as a knowledge base for further processing. Dominant or repetitive features and regularities as well as their hierarchical relationship are detected from the modelled façade elements and automatically translated into rules. These rules together with the 3D representations of the modelled façade elements constitute a formal grammar. It holds all the information which is necessary to reconstruct façades in the style of the given building. The paper demonstrates that the proposed algorithm is very flexible towards different data quality and incomplete sensor data. The inferred grammar is used for the verification of the façade model produced during the data driven reconstruction process and the generation of synthetic façades for which only partial or no sensor data is available. Moreover, knowledge propagation is not restricted to façades of one single building. Based on a small set of formal grammars derived from just a few observed buildings, façade reconstruction is also possible for whole districts featuring uniform architectural styles. Copyright 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Numéro de notice : A2009-496 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.06.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.06.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30125
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 6 (November - December 2009) . - 14 p. ; pp 640 - 653[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09061 RAB Revue Centre de documentation En réserve L003 Disponible A matching algorithm for detecting land use changes using case-based reasoning / X. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 11 (November 2009)
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[article]
Titre : A matching algorithm for detecting land use changes using case-based reasoning Type de document : Article/Communication Auteurs : X. Li, Auteur ; A.G. Yeh, Auteur ; J. Qian, Auteur ; Z. Qi, Auteur Année de publication : 2009 Article en page(s) : pp 1319 - 1332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] algorithme génétique
[Termes IGN] analyse diachronique
[Termes IGN] analyse spatiale
[Termes IGN] classification barycentrique
[Termes IGN] classification orientée objet
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] image multitemporelle
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] segmentation d'image
[Termes IGN] utilisation du solRésumé : (Auteur) The paper deals with change detection using time series SAR images. SAR provides a unique opportunity for detecting land-use changes within short intervals (e.g., monthly) in tropical and sub-tropical regions with cloud cover. Traditional change detection methods mainly rely on per-pixel spectral information but ignore per-object structural information. In this study, a new method is presented that integrates object-oriented analysis with case-based reasoning (CBR) for change detection. Object-oriented analysis is carried out to retrieve a variety of features, such as tone, shape, texture, area, and context. An incremental segmentation technique is proposed for deriving change objects from multi-temporal Radarsat images. Feature selection based on genetic algorithms is carried out to determine the optimal set of features for change detection. A CBR matching algorithm is developed to identify the temporal positions and the kind of changes. It is based on the weighted k-Nearest Neighbor classification using an accumulative similarity measure. The comparison of the four combinations of change detection methods, object-based or pixel-based plus case-based or rule-based, is carried out to validate the performance of this proposed method. The analysis shows that this integrated approach has provided an efficient way of detecting land-use changes at monthly intervals by using multi-temporal SAR images. Copyright ASPRS Numéro de notice : A2009-443 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.11.1319 En ligne : https://doi.org/10.14358/PERS.75.11.1319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30074
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 11 (November 2009) . - pp 1319 - 1332[article]Positioning localities based on spatial assertions / Y. Liu in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)
PermalinkMultihulls: Spatial representation and processing with variable shape fidelity, applied to gazetteers / J.T. Hastings in Transactions in GIS, vol 13 n°5-6 (October/december 2009)
PermalinkA neural network-based method for solving "nested hierarchy" areal interpolation problems / D. Merwin in Cartography and Geographic Information Science, vol 36 n° 4 (October 2009)
PermalinkComparison of GIS-based methodologies for the landslide susceptibility assessment / P. Magliulo in Geoinformatica, vol 13 n° 3 (September 2009)
PermalinkEvaluating the effects of land-use development policies on ex-urban forest cover: an integrated agent-based GIS approach / D. Robinson in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)
PermalinkGestion des risques de santé en milieu urbain : une orientation géostatistique et géospatiale d'un système multi-agents / Roland Ngom in Géomatique expert, n° 70 (01/09/2009)
PermalinkNavigation tasks with small-display maps : the sum of the parts does not equal the whole / J. Dillemuth in Cartographica, vol 44 n° 3 (September 2009)
PermalinkRéalisation d'un modèle contingent à base d'agents pour simuler des épidémies de peste à Madagascar : le modèle SIMPEST / Dominique Badariotti in Revue internationale de géomatique, vol 19 n° 3 (septembre - novembre 2009)
PermalinkSemantic web services-based process planning for earth science applications / P. Yue in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)
PermalinkSimuler les déplacements de piétons dans une station de métro : une approche à base d'agents / Arnaud Banos in Revue internationale de géomatique, vol 19 n° 3 (septembre - novembre 2009)
PermalinkSt-DMQL: a semantic trajectory data mining query language / Vania Bogorny in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)
PermalinkStereo analysis of high-resolution SAR images for building height estimation in cases of orthogonal aspect directions / Uwe Soergel in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)
PermalinkStreet-based topological representations and analyses for predicting traffic flow in GIS / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)
PermalinkSyGEMe, Système de GEstion Municipale intégrée du cycle de l'eau / F. Kuchlera in Géomatique expert, n° 70 (01/09/2009)
PermalinkSpecifying map requirements for automated generalization of topographic data / Jantien E. Stoter in Cartographic journal (the), vol 46 n° 3 (August 2009)
PermalinkA data-mining approach for assessing consistency between multiple representations in spatial databases / David Sheeren in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)
PermalinkDeveloping collaborative classifiers using an Expert-based Model / Giorgos Mountrakis in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 7 (July 2009)
PermalinkA GeoAgent-based framework for knowledge-oriented representation: embracing social rules in GIS / C. Yu in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)
PermalinkOptimizing Support Vector Machine learning for semi-arid vegetation mapping by using clustering analysis / L. Su in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 4 (July - August 2009)
PermalinkTropical cyclone trend analysis using enhanced parallel coordinates and statistical analytics / C.A. Steed in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
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