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Detection and classification of landmines using AR modeling of GPR data

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2 Author(s)
Deiana, D. ; TNO Defence, Security & Safety, The Hague, Netherlands ; Anitori, L.

In this paper we present some results on detection and classification of low metal content anti personnel (AP) landmines using a modified version of the Auto Regressive (AR) modeling algorithm presented in. A statistical distance is computed between the AR coefficients of the measured GPR time signal and the AR coefficients of a reference database (containing the AR models of the mines of interest) and a detection is declared if this distance is below a given threshold.

Published in:

Ground Penetrating Radar (GPR), 2010 13th International Conference on

Date of Conference:

21-25 June 2010