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Auteur A.M. Al-Garni |
Documents disponibles écrits par cet auteur (1)
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Expert system for landform interpretation using terrain analysis (EXLANT) / A.M. Al-Garni (1992)
Titre : Expert system for landform interpretation using terrain analysis (EXLANT) Type de document : Monographie Auteurs : A.M. Al-Garni, Auteur Editeur : Colombus (Ohio) : Ohio State University Année de publication : 1992 Collection : Department of Geodetic Science and Surveying Reports num. 423 Importance : 149 p. Format : 21 x 27 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation
[Termes IGN] paysage
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] système expertIndex. décimale : 35.30 Photo-interprétation Résumé : (Auteur) Most current research in digital photogrammetry and computer vision concentrates on the early vision process ; little research has been done on the late vision process. The late vision process in image interpretation contains descriptive knowledge and heuristic information which requires artificial intelligence (AI) in order for it to be modeled. This research has introduced expert systems, as AI tools, and terrain analysis to the late vision process. This goal has been achieved by selecting and theorizing landforms as features for image interpretation. These features present a wide spectrum of knowledge that can furnish a good foundation for image interpretation processes. In this research an EXPert system for LANdform interpretation using Terrain analysis (EXLANT) was developed. EXLANT can interpret the major landforms on earth. The system contains sample military and civilian consultations regarding site analysis and development. A learning mechanism was developed to accommodate necessary improvement for the data base due to the rapidly advancing and dynamically changing technology and knowledge. Many interface facilities and menu-driven screens were developed in the system to aid the users. Finally, the system has been tested and verified to be working properly. Numéro de notice : 12105 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54535 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 12105-01 35.30 Livre Centre de documentation En réserve M-103 Disponible