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Automating the analysis of remotely sensed data / C. Skelsey in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 3 (March 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 3 (March 2004) . - pp 341 - 350 Titre : Automating the analysis of remotely sensed data Type de document : Article/Communication Auteurs : C. Skelsey, Auteur ; A.N.R. Law, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 341 - 350 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse de données [Termes IGN] automatisation [Termes IGN] mise à jour de base de données [Termes IGN] photo-interprétation [Termes IGN] système d'information environnementale Résumé : (Auteur) Land cover is a complex phenomenon, its appearance and transition influenced by the soil, topography, climate, politics, ecology, and other aspects of land use. An operational study of land-cover change must consider such factors, and, if automation is to be employed, a new approach to software architecture and reasoning is required. The Macaulay Institute has developed the concept of task orientation as a means of supporting such work, and is currently investigating its utility in the update of the Land Cover of Scotland (1988) dataset. This paper describes the motivation behind the development of ETORA-II, an operational toolkit providing a task-orientated capability, and SYMOLAC-II, a proof-of-concept application. The final aim of this work is to produce an environmental information system for Scotland's land cover. Numéro de notice : A2004-104 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.3.341 En ligne : https://doi.org/10.14358/PERS.70.3.341 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26631 [article]