10 June 2005 Wavelet analysis for landmine detection false alarm discrimination
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Abstract
Acoustic detection of the landmines, which is based on the analysis of both spatial and frequency dependencies of the acoustic-to-seismic transfer function (A/S TF), exploits the difference between the mine impedance and the impedance of the surrounding ground. However, some deeply-buried mines and some types of the mines are hard to detect due to the natural variability of the ground. This work addresses the problem of false alarms and clutter (high values of the A/S TF in some frequency bands) that mimic the physics of a buried landmine. A time-scale, linear method (wavelet analysis) was utilized for improving the probability of landmine detection. Wavelet analysis of the measured signals resulted in typically stable characteristics for the undisturbed ground, the disturbed ground, and the ground with a mine. These characteristics may be used for the discrimination of false alarms and as an additional criterion to find mines that are hard to locate by traditional methods. The advantages of the suggested technique are illustrated using the experimental data.
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Vladimir N. Fokin, Margarita S. Fokina, and James M. Sabatier "Wavelet analysis for landmine detection false alarm discrimination", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); doi: 10.1117/12.602125; https://doi.org/10.1117/12.602125
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