Waveform based detection of anti-personnel landmines with an UWB radar

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Abstract

The present paper deals with feature-based landmine detection by means of UWB Ground Penetrating Radar (GPR). A waveform of target response is used as as discriminative feature for two feature-based detection schemes. The output of each DPS is a confidence map obtained by means of energy projection of a 3D distributed feature onto a 2D surface. An automated detection is made over the obtained confidence maps and mines detectability is analyzed on the basis of the Receiver Operation Characteristics curves. Performances of the feature- and energy-based data processing schemes (DPS) applied to the experimental data are compared. It is shown that suggested wave-form based detection is stable to change of the environment.