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This report details progress on a joint project between Duke University, the University of British Columbia and Sky Research, on the development of advanced statistical signal processing and geophysical modeling tools for sensing buried unexploded ordnance (UXO). The research reported here discusses feature extraction, workflow development, and exploitation of additional knowledge about UXO (that they are rare). Further, we have performed a detailed comparison of different classification strategies, across the different components of the research team. The methods are tested throughout using measured data from actual sites, often utilizing data collected under related ESTCP projects.