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Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification
[article]
2008
arXiv
pre-print
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
arXiv:0806.2007v1
fatcat:v7dza5ooorb3nevcy2yrlwpt4e