Ontology guided image understanding: (A preliminary study)

Abstract

This paper aimed to present a formal representation design or classification concept to design relationships among real-world description into image description on a land cover domain using ontology approach. This paper focused on airport domain in Indonesia since detection of airport imagery features was an open challenge due to various features were used to describe the visual existence of an airport. Main characteristics of real-world definition for airport domain were identified by using the reference from Klasifikasi Penutup Lahan SNI 7645 Badan Standardisasi Nasional (Land Cover Classification SNI 7645 National Standardization Body) and Ministry of the Transportation Republic of Indonesia. Subsequently, image description of airport domain was defined based on the real-world description of the airport. This description used image features consideration namely spatial, spectral (color and texture) which was organized as ontological properties itself. At the end, the formal representation of airport domain was designed by mapping real-world description of an object into image description. This paper showed ontology approach could be used to design the formal representation of land cover by mapping real-world description of an object into image description. Ontology itself would be used for image identification/classification/clustering at airport domain or other image domains.