  Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a
number of years in subsurface detection of explosive hazards. While WEMI
sensors have proven effective at localizing objects exhibiting large magnetic
responses, detecting objects lacking or containing very low amounts of
conductive materials can be challenging. In this paper, we compare a number of
target detection algorithms in the literature in terms of detection
performance. In the comparison, methods are tested on two real-world data sets:
one containing relatively low amounts of ground noise pollution, and the other
demonstrating highly-magnetic soil interference. Results are quantitatively
evaluated through receiver-operator characteristic (ROC) curves and are used to
highlight the strengths and weaknesses of the compared approaches in hand-held
explosive hazard detection.
