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Automated building generalization based on urban morphology and gestalt theory / Z. Li in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)
[article]
Titre : Automated building generalization based on urban morphology and gestalt theory Type de document : Article/Communication Auteurs : Z. Li, Auteur ; Hongxiang Yan, Auteur ; Tinghua Ai, Auteur ; J. Chen, Auteur Année de publication : 2004 Article en page(s) : pp 513 - 534 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale
[Termes IGN] base de données cartographiques
[Termes IGN] diagramme de Voronoï
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] généralisation du bâti
[Termes IGN] morphologie mathématique
[Termes IGN] reconnaissance de formes
[Termes IGN] système d'information géographique
[Termes IGN] théorie des graphes
[Termes IGN] triangulation de Delaunay
[Termes IGN] zone urbaine
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Building generalization is a difficult operation due to the complexity of the spatial distribution of buildings and for reasons of spatial recognition. In this study, building generalization is decomposed into two steps, i.e. building grouping and generalization execution. The neighbourhood model in urban morphology provides global constraints for guiding the global partitioning of building sets on the whole map by means of roads and rivers, by which enclaves, blocks, superblocks or neighbourhoods are formed, whereas the local constraints from Gestalt principles provide criteria for the further grouping of enclaves, blocks, superblocks and/or neighbourhoods. In the grouping process, graph theory, Delaunay triangulation and the Voronoi diagram are employed as supporting techniques. After grouping, some useful information, such as the sum of the building's area, the mean separation and the standard deviation of the separation of buildings, is attached to each group. By means of the attached information, an appropriate operation is selected to generalize the corresponding groups. Indeed, the methodology described brings together a number of welldeveloped theories/techniques, including graph theory, Delaunay triangulation, the Voronoi diagram, urban morphology and Gestalt theory, in such a way that multiscale products can be derived. Numéro de notice : A2004-285 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001702021 En ligne : https://doi.org/10.1080/13658810410001702021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26812
in International journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 513 - 534[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04051 RAB Revue Centre de documentation En réserve L003 Disponible Classification of hyperspectral remote sensing images with support vector machines / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)
[article]
Titre : Classification of hyperspectral remote sensing images with support vector machines Type de document : Article/Communication Auteurs : F. Melgani, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2004 Article en page(s) : pp 1778 - 1790 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification barycentrique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectraleRésumé : (Auteur) This paper addresses the problem of the classification of hyperspectral remote sensing images by support vector machines (SVMs). First, we propose a theoretical discussion and experimental analysis aimed at understanding and assessing the potentialities of SVM classifiers in hyperdimensional feature spaces. Then, we assess the effectiveness of SVMs with respect to conventional feature-reduction-based approaches and their performances in hypersubspaces of various dimensionalities. To sustain such an analysis, the performances of SVMs are compared with those of two other nonparametric classifiers (i.e., radial basis function neural networks and the K-nearest neighbor classifier). Finally, we study the potentially critical issue of applying binary SVMs to multiclass problems in hyperspectral data. In particular, four different multiclass strategies are analyzed and compared: the one-against-all, the one-against-one, and two hierarchical tree-based strategies. Different performance indicators have been used to support our experimental studies in a detailed and accurate way, i.e., the classification accuracy, the computational time, the stability to parameter setting, and the complexity of the multiclass architecture. The results obtained on a real Airborne Visible/Infrared Imaging Spectroradiometer hyperspectral dataset allow to conclude that, whatever the multiclass strategy adopted, SVMs are a valid and effective alternative to conventional pattern recognition approaches (feature-reduction procedures combined with a classification method) for the classification of hyperspectral remote sensing data. Numéro de notice : A2004-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.831865 En ligne : https://doi.org/10.1109/TGRS.2004.831865 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26916
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 8 (August 2004) . - pp 1778 - 1790[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04081 RAB Revue Centre de documentation En réserve L003 Disponible Clustering with obstacles for geographical data mining / V. Estivill-Castro in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)
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Titre : Clustering with obstacles for geographical data mining Type de document : Article/Communication Auteurs : V. Estivill-Castro, Auteur ; I. Lee, Auteur Année de publication : 2004 Article en page(s) : pp 21 - 34 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de groupement
[Termes IGN] base de données localisées
[Termes IGN] classification barycentrique
[Termes IGN] classification par la distance de Mahalanobis
[Termes IGN] distance euclidienne
[Termes IGN] exploration de données géographiques
[Termes IGN] système d'information géographique
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) Clustering algorithms typically use the Euclidean distance. However, spatial proximity is dependent on obstacles, caused by related information in other layers of the spatial database. We present a clustering algorithm suitable for large spatial databases with obstacles. The algorithm is free of user-supplied arguments and incorporates global and local variations. The algorithm detects clusters in complex scenarios and successfully supports association analysis between layers. All this occurs within O(n log n+[s + t] log n) expected time, where n is the number of points, s is the number of line segments that determine the obstacles and t is the number of Delaunay edges intersecting the obstacles. Copyright ISPRS Numéro de notice : A2004-312 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2003.12.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2003.12.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26839
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 1-2 (August 2004 - April 2005) . - pp 21 - 34[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-04031 RAB Revue Centre de documentation En réserve L003 Disponible Implementation and evaluation of a hypercube-based method for spatiotemporal exploration and analysis / Pierre Marchand in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)
[article]
Titre : Implementation and evaluation of a hypercube-based method for spatiotemporal exploration and analysis Type de document : Article/Communication Auteurs : Pierre Marchand, Auteur ; A. Brisebois, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 6 - 20 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse multicritère
[Termes IGN] appariement de données localisées
[Termes IGN] classe d'objets
[Termes IGN] classification hypercube
[Termes IGN] données spatiotemporelles
[Termes IGN] exploration de données géographiques
[Termes IGN] implémentation (informatique)
[Termes IGN] positionnement par GPSRésumé : (Auteur) This paper presents the results obtained with a new type of spatiotemporal topological dimension implemented within a hypercube, i.e., within a multidimensional database (MDDB) structure formed by the conjunction of several thematic, spatial and temporal dimensions. Our goal is to support efficient SpatioTemporal Exploration and Analysis (STEA) in the context of Automatic Position Reporting System (APRS), the worldwide amateur radio system for position report transmission. Mobile APRS stations are equipped with GPS navigation systems to provide real-time positioning reports. Previous research about the multidimensional approach has proved good potential for spatiotemporal exploration and analysis despite a lack of explicit topological operators (spatial, temporal and spatiotemporal). Our project implemented such operators through a hierarchy of operators that are applied to pairs of instances of objects. At the top of the hierarchy, users can use simple operators such as "same place", "same time" or "same time, same place". As they drill down into the hierarchy, more detailed topological operators are made available such as "adjacent immediately after", "touch during" or more detailed operators. This hierarchy is structured according to four levels of granularity based on cognitive models, generalized relationships and formal models of topological relationships. In this paper, we also describe the generic approach which allows efficient STEA within the multidimensional approach. Finally, we demonstrate that such an implementation offers query run times which permit to maintain a "train-of-thought" during exploration and analysis operations as they are compatible with Newell's cognitive band (query runtime Numéro de notice : A2004-311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2003.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2003.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26838
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 1-2 (August 2004 - April 2005) . - pp 6 - 20[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-04031 RAB Revue Centre de documentation En réserve L003 Disponible Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty / Arko Lucieer in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)
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Titre : Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty Type de document : Article/Communication Auteurs : Arko Lucieer, Auteur ; Menno-Jan Kraak, Auteur Année de publication : 2004 Article en page(s) : pp 491 - 512 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification floue
[Termes IGN] image Landsat-ETM+
[Termes IGN] incertitude des données
[Termes IGN] interactivité
[Termes IGN] visualisationRésumé : (Auteur) In this study, we propose, describe, and demonstrate a new geovisualization tool to demonstrate the use of exploratory and interactive visualization techniques for a visual fuzzy classification of remotely sensed imagery. The proposed tool uses dynamically linked views, consisting of an image display, a parallel coordinate plot, a 3D feature space plot, and a classified map with an uncertainty map. It allows a geoscientist to interact with the parameters of a fuzzy classification algorithm by visually adjusting fuzzy membership functions and fuzzy transition zones of land-cover classes. The purpose of this tool is to improve insight into fuzzy classification of remotely sensed imagery and related uncertainty. We tested our tool with a visual fuzzy land-cover classification of a Landsat 7 ETM + image of an area ln southern France characterized by objects with indeterminate boundaries. Good results were obtained with the visual classifier. Additionally, a focus-group user test of the tool showed that insight into a fuzzy classification algorithm and classification uncertainty improved considerably. Numéro de notice : A2004-284 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810410001658094 En ligne : https://doi.org/10.1080/13658810410001658094 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26811
in International journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 491 - 512[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04051 RAB Revue Centre de documentation En réserve L003 Disponible Modelling fuzzy topological relations between uncertain objects in a GIS / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)PermalinkUncertainty and confidence in land cover classification using a hybrid classifier approach / W. Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)PermalinkA land cover classification product over France at 1 km resolution using Spot4-Vegetation data / K.S. Han in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkMapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil / K.J. Wessels in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkMapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units / A.M. Cingolani in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkIntegrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney / S. Bhaskaran in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkUsing Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China / G.X. Zhao in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkA split model for extraction of subpixel impervious surface information / Y. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkWavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches / Nina S.N. Lam in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkChange detection techniques / Dong Lu in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)Permalink