Comparison of Hand-held WEMI Target Detection Algorithms
This work provides a comparative analysis for improving detection of low-conductivity objects in explosive hazard scenarios, but it is incremental as it reviews existing methods without introducing new ones.
The paper compared existing target detection algorithms for hand-held wide-band electromagnetic induction sensors in detecting explosive hazards, evaluating their performance on two real-world datasets with varying ground noise and magnetic soil interference using ROC curves.
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.