Classification Problems in Remote Sensing
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Conventional and Evolutionary Construction of Finite Mixture Models for Classification Problems in Remote Sensing (Aktion Project 29p7)
General Information
Contact person: Helmut A. Mayer
Description
This Czech-Austrian joint research project aims to combine the knowledge of the Czech partners in statistical modeling with the experience of the Austrian partners in evolutionary computation. In this follow-up project various methods to construct finite mixture models, namely, the conventional EM algorithm and evolutionary approaches are to be compared. In order to assess the performance of the differently constructed models applications to various pattern recognition problems, specifically remote sensing tasks, are to be explored.
More information about this project is available at http://www.cosy.sbg.ac.at/project/sigis/Projects/aktion02.html.
