Ground bounce tracking for landmine detection using a sequential Monte Carlo method

Li Tang, Peter A. Torrione, Cihat Eldeniz, Leslie M. Collins

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

7 Scopus citations

Abstract

A Sequential Monte Carlo (SMC) method is proposed to locate the ground bounce (GB) positions in 3D data collected by ground penetrating radar (GPR) system. The algorithm is verified utilizing real data and improved landmine detection performance is achieved compared with three other GB trackers.

Original languageEnglish
Title of host publicationDetection and Remediation Technologies for Mines and Minelike Targets XII
DOIs
StatePublished - 2007
EventDetection and Remediation Technologies for Mines and Minelike Targets XII - Orlando, FL, United States
Duration: Apr 11 2007Apr 12 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6553
ISSN (Print)0277-786X

Conference

ConferenceDetection and Remediation Technologies for Mines and Minelike Targets XII
Country/TerritoryUnited States
CityOrlando, FL
Period04/11/0704/12/07

Keywords

  • Ground bounce tracking
  • Ground penetrating radar
  • Landmine detection
  • Sequential Monte Carlo

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