Classification of landmine-like metal targets using wideband electromagnetic induction

Ping Gao, L. Collins, N. Geng, L. Carin, D. Keiswetter, I.J. Won

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

Abstract

Our previous work has indicated that the careful application of signal detection theory can dramatically improve detectability of landmines using time-domain electromagnetic induction (EMI) data. In this paper, classification of various metal targets via signal detection theory is investigated using a prototype wideband frequency-domain EMI sensor. An algorithm that incorporates both the uncertainties regarding the target-sensor orientation and a theoretical model of the response of such a sensor is developed. The performance of this approach is evaluated using both simulated and experimental data. The results show that this approach affords substantial classification performance gains over the traditional matched filter approach, on average by 60%.
Original languageEnglish (US)
Title of host publication1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
PublisherIEEE
Pages2327-2330
Number of pages4
Volume4
ISBN (Print)0-7803-5041-3
DOIs
StatePublished - Mar 19 1999
Externally publishedYes
Event1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) - Phoenix, AZ, USA
Duration: Mar 15 1999Mar 19 1999

Conference

Conference1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
Period03/15/9903/19/99

Keywords

  • Wideband
  • Signal detection
  • Landmine detection
  • Electromagnetic interference
  • Time domain analysis
  • Electromagnetic induction
  • Prototypes
  • Uncertainty
  • Performance gain
  • Matched filters

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