Abstract
Abstract : Millions of acres of former and currently used military training and testing ranges are potentially contaminated by surface and buried unexploded ordnance (UXO), giving rise to requirements for UXO environmental restoration of formerly used sites and for sustainable use and active range cleanup. Geophysical surveys are required to map the location of buried UXO. The major cost driver of current cleanup and restoration is the inability to discriminate between buried false alarm and UXO targets. Excavation of false alarm targets is the major cost driver of UXO cleanup. Application of complementary geophysical sensor systems increases the potential for discrimination of UXO targets from false alarm targets. Development of new and innovative data integration methods and cooperative geophysical inversion algorithms allows enhanced discrimination and gives potential for target classification.
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