Special issue on geophysics applied to detection and discrimination of unexploded ordnance

Matched Filter Processor for Detection and Discrimination of Unexploded Ordnance

Statistical Methods for Unexploded Ordnance Discrimination

We propose statistical processing methods and performance analysis techniques for discrimination and localization of Unexploded Ordnance (UXOs) using EMI sensors based on nonparametrically defined prior probability density functions for target-relevant features. In the first part of this thesis, new sets of UXO discrimination methods using these nonparametric prior models are introduced where w...

Detection of Unexploded Ordnance: An Introduction

In this chapter, we outline the statistical procedures that can be employed for the detection of unexploded ordnance (UXO). Phenomenological modeling is first developed to relate the collected data to a sensor’s feature parameters, which in turn allow for physics-based signal processing. Starting with the Bayesian framework, we introduce minimax and robust detection that do not require prior pr...

Classification of Unexploded Ordnance

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Genetic Programming for Discrimination of Buried Unexploded Ordnance (UXO)

According to the Department of Defense, over 10 million acres of land in the US need to be cleared of buried unexploded ordnance (UXO). Worldwide, UXO injures thousands each year. Cleanup costs are prohibitively expensive due to the difficulties in discriminating buried UXO from other inert non-UXO objects. Government agencies are actively searching for improved sensor methodologies to detect a...