Application of the Normalized Surface Magnetic Source Model to a Blind Unexploded Ordnance Discrimination Test
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Application of the Normalized Surface Magnetic Source Model to a Blind Unexploded Ordnance Discrimination TestAbstract
The Normalized Surface Magnetic Source (NSMS) model is applied to unexploded ordnance (UXO) discrimination data collected at Camp Sibert, AL, with the EM63 electromagnetic induction sensor. The NSMS is a fast and accurate numerical forward model that represents an object’s response using a set of equivalent magnetic dipoles distributed on a surrounding closed surface. As part of the discrimination process one must also determine the location and orientation of each buried target. This is achieved using a physics-based technique that assumes a target to be a dipole and extracts the location from the measured magnetic field vector and the scalar magnetic potential; the latter is reconstructed from field measurements by means of an auxiliary layer of magnetic charges. Once the object’s location is estimated, the measured magnetic field is matched to NSMS predictions to determine the timedependent amplitudes of the surface magnetic sources, which in turn can be used to generate classifying features. This paper shows the superior discrimination performance of the NSMS model.
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