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GEOIRIS : GEOspatial Information Retrieval and Indexing System-content mining, semantics modeling, and complex queries / C.R. Shyu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 45 n° 4 (April 2007) . - pp 839 - 852 Titre : GEOIRIS : GEOspatial Information Retrieval and Indexing System-content mining, semantics modeling, and complex queries Type de document : Article/Communication Auteurs : C.R. Shyu, Auteur ; M. Klaric, Auteur ; G.J. Scott, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 839 - 852 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données d'images [Termes IGN] exploration de données géographiques [Termes IGN] extraction automatique [Termes IGN] fusion de données multisource [Termes IGN] indexation spatiale [Termes IGN] recherche d'information géographique [Termes IGN] requête spatiale Résumé : (Auteur) Searching for relevant knowledge across heterogeneous geospatial databases requires an extensive knowledge of the semantic meaning of images, a keen eye for visual patterns, and efficient strategies for collecting and analyzing data with minimal human intervention. In this paper, we present our recently developed content-based multimodal Geospatial Information Retrieval and Indexing System (GeoIRIS) which includes automatic feature extraction, visual content mining from large-scale image databases, and high-dimensional database indexing for fast retrieval. Using these underpinnings, we have developed techniques for complex queries that merge information from heterogeneous geospatial databases, retrievals of objects based on shape and visual characteristics, analysis of multiobject relationships for the retrieval of objects in specific spatial configurations, and semantic models to link low-level image features with high-level visual descriptors. GeoIRIS brings this diverse set of technologies together into a coherent system with an aim of allowing image analysts to more rapidly identify relevant imagery. GeoIRIS is able to answer analysts' questions in seconds, such as "given a query image, show me database satellite images that have similar objects and spatial relationship that are within a certain radius of a landmark." Copyright IEEE Numéro de notice : A2007-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.890579 En ligne : https://doi.org/10.1109/TGRS.2006.890579 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28581 [article]

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