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Reconstructing spatiotemporal trajectories from sparse data / P. Partsinevelos in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 1 (December 2005 - March 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 60 n° 1 (December 2005 - March 2006) . - pp 3 - 16 Titre : Reconstructing spatiotemporal trajectories from sparse data Type de document : Article/Communication Auteurs : P. Partsinevelos, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2005 Article en page(s) : pp 3 - 16 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse de groupement [Termes IGN] carte de Kohonen [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal [Termes IGN] données spatiotemporelles [Termes IGN] modélisation spatio-temporelle [Termes IGN] objet mobile [Termes IGN] reconstruction d'itinéraire ou de trajectoire [Termes IGN] segmentation [Termes IGN] seuillage Résumé : (Auteur) In motion imagery-based tracking applications, it is common to extract locations of moving objects without any knowledge about the identity of the objects they correspond to. The identification of individual spatiotemporal trajectories from such data sets is far from trivial when these trajectories intersect in space, time, or attributes. In this paper, we present a novel approach for the reconstruction of entangled spatiotemporal trajectories of moving objects captured in motion imagery data sets. We have developed AGENT (Attribute-aided Classification of Entangled Trajectories), a novel framework that comprises classification, clustering, and neural net processes to progressively reconstruct elongated trajectories using as input spatiotemporal coordinates of image patches and corresponding attribute values. AGENT proceeds by first forming brief fragments and then linking them and adding points to them. An initial classification allows us to form brief segments corresponding to distinct objects. These segments are then linked together through clustering to form longer trajectories. Back-propagation neural network classification and geometric/self-organizing map (SOM) analysis refine these trajectories by removing misclassified and redistributing unassigned points. Thus, AGENT integrates some established classification and clustering tools to devise a novel approach that can address the tracking challenges of busy environments. Furthermore, AGENT allows us use spatiotemporal (ST) thresholds to cluster trajectories according to their spatial and temporal extent. In the paper, we present in detail our framework and experimental results that support the application potential of our approach. Numéro de notice : A2006-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.10.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.10.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27945 [article]

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SOLAP technology: merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data / Sonia Rivest in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 1 (December 2005 - March 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 60 n° 1 (December 2005 - March 2006) . - pp 17 - 33 Titre : SOLAP technology: merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data Type de document : Article/Communication Auteurs : Sonia Rivest, Auteur ; Marie-Josée Proulx, Auteur ; Yvan Bédard, Auteur Année de publication : 2005 Article en page(s) : pp 17 - 33 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Produits informatiques [Termes IGN] analyse spatiale [Termes IGN] base de données localisées [Termes IGN] exploration de données géographiques [Termes IGN] interface utilisateur [Termes IGN] SOLAP [Termes IGN] système d'information géographique [Termes IGN] visualisation cartographique [Termes IGN] visualisation de données Résumé : (Auteur) To support their analytical processes, today's organizations deploy data warehouses and client tools such as OLAP (On-Line Analytical Processing) to access, visualize, and analyze their integrated, aggregated and summarized data. Since a large part of these data have a spatial component, better client tools are required to take full advantage of the geometry of the spatial phenomena or objects being analyzed. With this regard, Spatial OLAP (SOLAP) technology offers promising possibilities. A SOLAP tool can be defined as "a type of software that allows rapid and easy navigation within spatial databases and that offers many levels of information granularity, many themes, many epochs and many display modes synchronized or not: maps, tables and diagrams" [Bedard, Y., Proulx, M.J., Rivest, S., 2005. Enrichissement du OLAP pour l'analyse geographique: exemples de réalisation et différentes possibilités technologiques. In: Bentayeb, F., Boussaid, O., Darmont, J., Rabaseda, S. (Eds.), Entrepôts de Données et Analyse en ligne, RNTI B-1. Paris: Cépaduès, pp. 1-20]. SOLAP tools offer a new user interface and are meant to be client applications sitting on top of multi-scale spatial data warehouses or datacubes. As they are based on the multidimensional paradigm, they facilitate the interactive spatio-temporal exploration of data. The purpose of this paper is to discuss how SOLAP concepts support spatio-temporal exploration of data and then to present the geovisualization, interactivity, and animation features of the SOLAP software developed by our research group. This paper first reviews the general concepts behind OLAP and SOLAP Systems. This is followed by a discussion of how these SOLAP concepts support spatio-temporal exploration of data. In the subsequent section, SOLAP software is introduced along with features that enable geovisualization, interactivity and animation. Copyright ISPRS Numéro de notice : A2006-219 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.10.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.10.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27946 [article]

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IPODLAS: a software architecture for coupling temporal simulation systems, VR, and GIS / D. Isenegger in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 1 (December 2005 - March 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 60 n° 1 (December 2005 - March 2006) . - pp 34 - 47 Titre : IPODLAS: a software architecture for coupling temporal simulation systems, VR, and GIS Type de document : Article/Communication Auteurs : D. Isenegger, Auteur ; B. Price, Auteur ; Y. Wu, Auteur Année de publication : 2005 Article en page(s) : pp 34 - 47 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] analyse fonctionnelle (produit) [Termes IGN] architecture logicielle [Termes IGN] données spatiotemporelles [Termes IGN] logiciel de simulation [Termes IGN] produit informatique [Termes IGN] réalité virtuelle [Termes IGN] système d'information géographique Résumé : (Auteur) Environmental processes often vary in space and time and act over several scales. Current software applications dealing with aspects of these processes emphasize properties specific to their domain and tend to neglect other issues. For example, GIS prefers a static view and generally lacks the representation of dynamics, temporal simulation Systems emphasize the temporal component but ignore space to a great extent, and virtual reality tends to "forget" the underlying data and models. In order to remedy this situation, we present an approach that aims to bring together the three domains; temporal simulation Systems, GIS, and virtual reality, and to foster the integration of particular functionalities. This paper concentrates on concepts and requirements for the development of a suitable software architecture using case studies and use cases seen from a GIS-based perspective. Copyright ISPRS Numéro de notice : A2006-220 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27947 [article]

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081-06011	SL	Revue	Centre de documentation	Revues en salle	Disponible