In this paper, we present some high level information fusion approaches for numeric and symbolic data. We study the interest of such method particularly for classifier fusion. A comparative study is made in a context of sea bed characterization from sonar images. The classi- fication of kind of sediment is a difficult problem because of the data complexity. We compare high level information fusion and give the obtained performance.
Cite
@article{arxiv.0806.2006,
title = {Fusion de classifieurs pour la classification d'images sonar},
author = {Arnaud Martin},
journal= {arXiv preprint arXiv:0806.2006},
year = {2012}
}