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Modelling and representation issues in automated feature extraction from aerial and satellite images / Arcot Sowmya in ISPRS Journal of photogrammetry and remote sensing, vol 55 n° 1 (January - February 2000)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 55 n° 1 (January - February 2000) . - pp 34 - 47 Titre : Modelling and representation issues in automated feature extraction from aerial and satellite images Type de document : Article/Communication Auteurs : Arcot Sowmya, Auteur ; John C. Trinder, Auteur Année de publication : 2000 Article en page(s) : pp 34 - 47 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] extraction automatique [Termes IGN] extraction de traits caractéristiques [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] modélisation [Termes IGN] photographie aérienne Résumé : (Auteur) New digital systems for the processing of photogrammetric and remote sensing images have led to new approaches to information extraction for mapping and Geographic Information System (GIS) applications, with the expectation that data can become more readily available at a lower cost and with greater currency. Demands for mapping and GIS data are increasing as well for environmental assessment and monitoring. Hence, researchers from the fields of photogrammetry and remote sensing, as well as computer vision and artificial intelligence, are bringing together their particular skills for automating these tasks of information extraction. The paper will review some of the approaches used in knowledge representation and modelling for machine vision, and give examples of their applications in research for image understanding of aerial and satellite imagery. Numéro de notice : A2000-051 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(99)00040-4 Date de publication en ligne : 10/04/2000 En ligne : https://doi.org/10.1016/S0924-2716(99)00040-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21471 [article]

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