Area-based results for mine detection

E Gelenbe, T Kocak

Research output: Contribution to journalArticle (Academic Journal)peer-review

65 Citations (Scopus)
293 Downloads (Pure)


The cost and the closely related length of time spent in searching for mines or unexploded ordnance (UXO) may well be largely determined by the number of false alarms. False alarms can result in time consuming digging of soil or in additional multisensory tests in the minefield. The authors consider two area-based methods for reducing false alarms. These are: (a) the previously known “declaration” technique and (b) the new δ technique, which they introduce. They first derive expressions and lower bounds for false-alarm probabilities as a function of declaration area and discuss their impact on receiver operation characteristic (ROC) curves. Second, they exploit characteristics of the statistical distribution of sensory energy in the immediate neighborhood of targets and of false alarms from available calibrated data, to propose the δ technique, which significantly improves discrimination between targets and false alarms. The results are abundantly illustrated with statistical data and ROC curves using electromagnetic-induction sensor data made available through DARPA from measurements at various calibrated sites
Translated title of the contributionArea-based results for mine detection
Original languageEnglish
Pages (from-to)12 - 24
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number1
Publication statusPublished - Jan 2000

Bibliographical note

Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Rose publication type: Journal article

Sponsorship: The authors wish to thank R. Dugan, T. Altshuler, and V. George for providing the experimental data upon which this study is based.

Terms of use: Copyright © 2000 IEEE. Reprinted from IEEE Transactions on Geoscience and Remote Sensing. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to

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  • area-based techniques for detection
  • detection of unexploded ordinance (UXO)
  • electromagnetic induction sensors

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