Time - Frequency domain signature analysis of GPR data for landmine identification

O. Lopera, N. Milisavljević, D. Daniels, B. Macq

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférencesContribution à une conférenceRevue par des pairs

Résumé

In this paper, the problem of detecting buried antipersonnel (AP) landmines is tackled in the broader context of target identification: determining relevant features, extracted from impulse ground-penetrating radar (GPR) signals, which can be used to classify landmines. These features are extracted in the time-frequency domain using the Wigner-Ville distribution (WVD) and the wavelet transform (WT). Radar data are collected using the MINEHOUND™ hand-held dual-sensor system over two types of soil and for different landmines and objects. The Wilk's lambda value is used as a criterion for optimal discrimination. Results show that time-frequency signatures from WVD contain more valuable information than the features extracted using WT. Therefore, they could improve landmine and false alarm classification and help to differentiate between two different landmines.

langue originaleAnglais
titreProceedings of the 2007 4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007
Pages159-162
Nombre de pages4
Les DOIs
étatPublié - 2007
Evénement4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007 - Naples, Italie
Durée: 27 juin 200729 juin 2007

Série de publications

NomProceedings of the 2007 4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007

Une conférence

Une conférence4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007
Pays/TerritoireItalie
La villeNaples
période27/06/0729/06/07

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