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Communication Dans Un Congrès Année : 2007

Ontology-based Object Recognition for Remote Sensing Image Interpretation

Résumé

The multiplication of Very High Resolution (spatial or spectral) remote sensing images appears to be an opportunity 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.
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Dates et versions

hal-01463170 , version 1 (01-11-2017)
hal-01463170 , version 2 (20-09-2018)

Identifiants

Citer

Nicolas Durand, Sébastien Derivaux, Germain Forestier, Cédric Wemmert, Pierre Gancarski, et al.. Ontology-based Object Recognition for Remote Sensing Image Interpretation. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2007, Patras, Greece. pp.472-479, ⟨10.1109/ICTAI.2007.111⟩. ⟨hal-01463170v2⟩
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