# Comparison of Hand-held WEMI Target Detection Algorithms

## TL;DR

This paper compares various WEMI target detection algorithms using real-world data to evaluate their effectiveness in detecting low-conductivity explosive hazards amidst different noise conditions.

## Contribution

It provides a comprehensive performance comparison of existing detection algorithms on real datasets, highlighting their strengths and weaknesses.

## Key findings

- Algorithms perform differently depending on soil interference levels.
- Detection accuracy varies with ground noise conditions.
- Some methods outperform others in specific scenarios.

## Abstract

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.