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

  • O. Lopera
  • , N. Milisavljević
  • , D. Daniels
  • , B. Macq
  • Université Catholique de Louvain
  • University of Los Andes
  • ERA Technology Ltd

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

23 Zitate (Scopus)

Abstract

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.

OriginalspracheEnglisch
TitelProceedings of the 2007 4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007
Seiten159-162
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2007
Veranstaltung4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007 - Naples, Italien
Dauer: 27 Juni 200729 Juni 2007

Publikationsreihe

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

Konferenz

Konferenz4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007
Land/GebietItalien
OrtNaples
Zeitraum27/06/0729/06/07

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