Ontology-Based Object Recognition for Remote Sensing Image Interpretation

Authors:
Nicolas Durand;Sebastien Derivaux;Germain Forestier;Cedric Wemmert;Pierre Gancarski;Omar Boussaid;Anne Puissant
Affiliations:
-;-;-;-;-;-;-
Venue:
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Year:
2007

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Abstract

The multiplication of Very High Resolution (spatial or spectral) remote sensing images appears to be an opportu- nity to identify objects in urban and periurban areas. The classification methods applied in the object-oriented image analysis approach could be based on the use of domain knowledge. A major issue in these approaches is domain knowledge formalization and exploitation. In this paper, we propose a recognition method based on an ontology which has been developed by experts of the domain. In order to give objects a semantic meaning, we have developed a matching process between an object and the concepts of the ontology. Experiments are made on a Quickbird image. The quality of the results shows the effectiveness of the proposed method.