Landmine visualization system based on multiple complex-valued SOMs to integrate multimodal information

We propose a landmine-visualization system consisting of multiple complex-valued self-organizing maps (CSOMs), in which we pay attention to mutual information among them for integrating multimodal information. In particular, we focus on the use of similarity indices, which we can obtain with a small calculation cost. We demonstrate that the trends in the similarity indices are almost identical with that of mutual information. Consequently we can integrate multimodal information with a realistically small calculation cost.