A Fuzzy-Rule Based Ontology for Urban Object Recognition

Stella Marc-Zwecker, Khalid Asnoune, Cédric Wemmert

2014

Abstract

In this paper we outline the principles of a methodology for semi-automatic recognition of urban objects from satellite images. The methodology aims to provide a framework for bridging the semantic gap problem. Its principle consists in linking abstract geographical domain concepts with image segments, by the means of ontologies use. The imprecision of image data and of qualitative rules formulated by experts geographers are handled by fuzzy logic mechanisms. We have defined fuzzy rules, implemented in SWRL (Semantic Web Rule Language), which allow classification of image segments in the ontology. We propose some fuzzy classification strategies, which are compared and evaluated through an experimentation performed on a VHR image of Strasbourg region.

Paper Citation

in Harvard Style

Marc-Zwecker S., Asnoune K. and Wemmert C. (2014). A Fuzzy-Rule Based Ontology for Urban Object Recognition . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 153-160. DOI: 10.5220/0005026601530160

in Bibtex Style

@conference{keod14,
author={Stella Marc-Zwecker and Khalid Asnoune and Cédric Wemmert},
title={A Fuzzy-Rule Based Ontology for Urban Object Recognition},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={153-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005026601530160},
isbn={978-989-758-049-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - A Fuzzy-Rule Based Ontology for Urban Object Recognition
SN - 978-989-758-049-9
AU - Marc-Zwecker S.
AU - Asnoune K.
AU - Wemmert C.
PY - 2014
SP - 153
EP - 160
DO - 10.5220/0005026601530160