Subsurface imaging using a handheld GPR MD system

Xuan Feng, Motoyuki Sato, Cai Liu

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

A multisensor system could offer an effective solution to land-mine detection. A handheld dual-sensor system with a position tracking system is developed, which can acquire ground-penetrating radar (GPR) and metal detector (MD) data with 2-D space coordinates. However, as the measurement points are random and data are irregular for the human operator, it is difficult to display subsurface visualization imaging. We develop a set of techniques to achieve visualization imaging of both GPR and MD. A modified migration algorithm with continuous-root-mean-square velocity is proposed to process irregular GPR data, and an interpolation algorithm is recommended to process irregular MD data. In an application to field experiment data, clear subsurface targets imaging was achieved in both GPR slice and MD image.

Original languageEnglish
Article number6163346
Pages (from-to)659-662
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume9
Issue number4
DOIs
Publication statusPublished - 2012 Mar 6

Keywords

  • Ground-penetrating radar (GPR)
  • Handheld dual sensor
  • Irregular data
  • Metal detector (MD)
  • Subsurface imaging

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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