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Evaluation and improvement of spectral features for the detection of buried explosive hazards using forward-looking ground-penetrating radar

  • Justin Farrell
  • , Timothy C. Havens
  • , K. C. Ho
  • , James M. Keller
  • , Tuan T. Ton
  • , David C. Wong
  • , Mehrdad Soumekh
  • University of Missouri
  • United States Army

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

17 Scopus citations

Abstract

We provide an evaluation of spectral features extracted from the signal return of a forward-looking ground penetrating radar to improve the detection performance of buried explosive hazards. The evaluations are performed on data collected at two different lanes at a government test site. The performance of the one-dimensional (1D), two-dimensional (2D) and multiple (ML) spectral features will be contrasted through lane-based cross-validation for training and testing. Additional features to characterize the spectral behaviors of the forward-looking radar return will also be examined.

Original languageEnglish
Title of host publicationDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
PublisherSPIE
ISBN (Print)9780819490353
DOIs
StatePublished - 2012
EventDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII - Baltimore, MD, United States
Duration: Apr 23 2012Apr 27 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8357
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
Country/TerritoryUnited States
CityBaltimore, MD
Period04/23/1204/27/12

Keywords

  • Detection
  • Explosive hazards
  • Forward looking ground penetrating radar
  • Signal processing
  • Spectral features

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