An improved decision-theoretic approach to the optimum detection of mines

L Collins*, Chandramohan George, T Altshuler, L Nolte, L Carin

*Corresponding author for this work

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

7 Scopus citations

Abstract

The fundamental goal of mine detection is to achieve a high defection rate along with a low false alarm rate. While many mine detectors achieve the first of these goals, it is often at the cost of a prohibitively large false alarm rate. In this paper, a Bayesian decision-theoretic approach to the detection of mines, which incorporates the physical properties of the target response to an electromagnetic induction (EMI) device, is presented. This approach merges physical modeling of the evoked target response with a probabilistic description that represents uncertainty in the ground surface, composition of the mine, and its placement in the surrounding environment. This approach provides both an optimal detection scheme, and performance evaluation measures in the form of probability of detection (Pd) and false alarm rate (Pfa). We present results in which the model-based, Bayesian approach significantly outperforms (lower Pfa for the same Pd) the energy detector and matched filter detectors on data obtained from the DARPA Backgrounds Clutter Data Collection Experiment(1)). In addition, the model-based, Bayesian approach is also shown to outperform a detector which estimates the eddy-current decay rate from the data. Results are also presented to illustrate the amount of sensitivity of the matched filter detector for a known environment to incorrect prior knowledge of uncertain parameters in the demining scenario, as well as the robustness of performance and performance bounds realizable by the optimum detection algorithm that properly accounts for uncertainty within a Bayesian framework.

Original languageEnglish
Title of host publicationDETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS II
EditorsAC Dubey, RL Barnard
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Pages716-723
Number of pages8
ISBN (Print)0-8194-2494-3
DOIs
StatePublished - 1997
Externally publishedYes
EventConference on Detection and Remediation Technologies for Mines and Minelike Targets II - ORLANDO
Duration: Apr 21 1997Apr 24 1997

Publication series

NamePROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
PublisherSPIE - INT SOC OPTICAL ENGINEERING
Volume3079

Conference

ConferenceConference on Detection and Remediation Technologies for Mines and Minelike Targets II
CityORLANDO
Period04/21/9704/24/97

Keywords

  • demining
  • signal processing
  • optimal detection
  • performance evaluation

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