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 ..

View full abstract

University of Melbourne Researchers


Funding Acknowledgements

The authors would like to acknowledge the University of Tasmania, Discipline of Geography and Spatial Sciences for the logistics support. Sachit Rajbhandari is supported by an Australian Government Research Training Program Scholarship.