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Communication dans un congrès

Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification

Abstract : The sonar images provide a rapid view of the seabed in order to characterize it. However, in such as uncertain environment, real seabed is unknown and the only information we can obtain, is the interpretation of different human experts, sometimes in conflict. In this paper, we propose to manage this conflict in order to provide a robust reality for the learning step of classification algorithms. The classification is conducted by a multilayer perceptron, taking into account the uncertainty of the reality in the learning stage. The results of this seabed characterization are presented on real sonar images.
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https://hal.archives-ouvertes.fr/hal-00286533
Contributeur : Arnaud Martin <>
Soumis le : mercredi 11 juin 2008 - 21:03:38
Dernière modification le : vendredi 13 décembre 2019 - 10:42:05
Archivage à long terme le : : vendredi 28 mai 2010 - 21:41:16

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  • HAL Id : hal-00286533, version 1
  • ARXIV : 0806.2007

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Arnaud Martin, Christophe Osswald. Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification. International Conference on Information \& Communication Technologies: from Theory to Applications (ICTTA), Apr 2008, Damascus, Syria. pp.IP8-10. ⟨hal-00286533⟩

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