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2010
2010 20th International Crimean Conference "Microwave & Telecommunication Technology"
In this paper, the use of Independent Component Discriminant Analysis (ICDA) for remote sensing classification is proposed. ICDA is a non-parametric method for discriminant analysis based on the application of a Bayesian classification rule on a signal composed by independent components. The method is based on the use of Independent Component Analysis (ICA) to choose a transform matrix so that the transformed components are as independent as possible. Then, a non parametric estimation of the
doi:10.1109/crmico.2010.5632389
fatcat:v657jjz3ujhglegopt46irkc4q