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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 2007 4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007
Pages159-162
Number of pages4
DOIs
Publication statusPublished - 2007
Event4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007 - Naples, Italy
Duration: 27 Jun 200729 Jun 2007

Publication series

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

Conference

Conference4th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2007
Country/TerritoryItaly
CityNaples
Period27/06/0729/06/07

Keywords

  • Feature extraction
  • Landmine classification
  • Time-frequency analysis
  • Wavelet transform
  • Wigner distribution

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