Geometric diffusion as a classifier

Often, the problem of automatic target recognition can be reduced down to two separate but related problems, feature extraction and classifier design. The best classifier only works as well as the input data provided to the system. In this presentation, we will outline a new approach to classification known as geometric diffusion as proposed by Coifman et al, and demonstrate the power of this new metric for classification of imagery.