Journal article

Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis

S Rajbhandari, J Aryal, J Osborn, R Musk, A Lucieer

ISPRS International Journal of Geo-Information | MDPI AG | Published : 2017


In Geographic Object-based Image Analysis (GEOBIA), identification of image objects is normally achieved using rule-based classification techniques supported by appropriate domain knowledge. However, GEOBIA currently lacks a systematic method to formalise the domain knowledge required for image object identification. Ontology provides a representation vocabulary for characterising domain-specific classes. This study proposes an ontological framework that conceptualises domain knowledge in order to support the application of rule-based classifications. The proposed ontological framework is tested with a landslide case study. The Web Ontology Language (OWL) is used to construct an ontology in ..

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University of Melbourne Researchers