A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery

Fethi Ghazouani, Wassim Messaoudi, Imed Riadh Farah

2015

Abstract

Land-use/cover change, climate change, sea level evolution are examples of application that are associated with change detection. Actually, we use satellite image time series to monitor the change where entities are often dynamic along time. Moreover, knowledge associated to these spatio-temporal objects can evolve when changes occur. Thus, for modeling this kind of knowledge it is necessary to deal with four aspects: spectral, spatial, temporal and semantic. Such approach can be modeled by ontologies in many levels. Thereby, a shared ontology can be an ontology or a combination of some ontologies based on some mechanisms of linking. Such link process should maintain consistency between represented knowledge. In this paper, we propose a multi-level ontological approach for monitoring dynamics in remote sensing images. The proposed methodology aims to link our domain ontology to an upper level ontology thus enabling to represent existing change processes.

Paper Citation

in Harvard Style

Ghazouani F., Messaoudi W. and Riadh Farah I. (2015). A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 435-440. DOI: 10.5220/0005642204350440

in Bibtex Style

@conference{keod15,
author={Fethi Ghazouani and Wassim Messaoudi and Imed Riadh Farah},
title={A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)},
year={2015},
pages={435-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005642204350440},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)
TI - A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery
SN - 978-989-758-158-8
AU - Ghazouani F.
AU - Messaoudi W.
AU - Riadh Farah I.
PY - 2015
SP - 435
EP - 440
DO - 10.5220/0005642204350440