Detection and Classification of Landmines using AR Modeling of GPR Data

conference paper
2010
Deiana, D.

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 [1,2]. 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.
Topics
Auro regressive modelingLandminesGround penetrating radar (GPR)Mine detectionBuried objectsAnti personnel mines
TNO Identifier
362022
Repository link
https://resolver.tno.nl/uuid:9308cfec-797d-4505-aacb-733062211016
Publisher
IEEE
Article nr.
5550141
Source title
CPR 2010 - Proceedings of the XIII International Conference on Ground penetrating Radar, 21-25 June 2010, Lecce, Italy
Editor(s)
Crocco, L.
Orlando, L.
Persico, R.
Pieraccini, M.
Place of publication
Piscataway, NY
Pages
379-383
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