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A fuzzy spatial reasoner for multi-scale GEOBIA ontologies / Argyros Argyridis in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 6 (June 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 6 (June 2015) . - pp 491 - 498 Titre : A fuzzy spatial reasoner for multi-scale GEOBIA ontologies Type de document : Article/Communication Auteurs : Argyros Argyridis, Auteur ; Demetre P. Argialas, Auteur Année de publication : 2015 Article en page(s) : pp 491 - 498 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image orientée objet [Termes IGN] classification à base de connaissances [Termes IGN] détection du bâti [Termes IGN] image Quickbird [Termes IGN] objet géographique [Termes IGN] ontologie [Termes IGN] OWL [Termes IGN] PostgreSQL [Termes IGN] segmentation d'image [Termes IGN] toit Résumé : (auteur) In Geographic Object-Based Image Analysis (GEOBIA), an image is partitioned into objects by a segmentation algorithm. These objects are then classified into semantic categories based on unsupervised/ supervised methods, or knowledge-based methods, such as an ontology. The aim of this paper was to develop a SPatial Ontology Reasoner (SPOR) to allow the development of GEOBIA ontologies by employing fuzzy, spatial, and multi-scale representations, with time efficiency. An enhanced version of the Web Ontology Language 2 (OWL 2) with fuzzy representations was adopted and expanded to represent fuzzy spatial relationships within the framework of GEOBIA. Segmentation results are stored within PostgreSQL. An ontology described the class/subclass hierarchy and class definitions. SPOR integrated PostgreSQL and the ontology, to classify the objects. To demonstrate the framework, a QuickBird image was employed for building extraction. Accuracy assessment indicated that 87 percent of building rooftops were detected. Numéro de notice : A2015-979 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.6.491 En ligne : https://doi.org/10.14358/PERS.81.6.491 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80062 [article]