Hypothesis testing for landmine detection with EMI images

Published

Conference Paper

© 1998 IEEE. The goal of any landmine detection system is to achieve a high probability of detection while at the same time maintaining low probability of false alarm. For detection of landmines with electromagnetic induction (EMI) sensors, the performance tends to be limited by the false alarm rate, as opposed to the detection rate. In this paper, we review a statistical Bayesian approach for deriving algorithms to test the mine and no mine hypotheses which incorporates the physical nature of the response of EMI sensors as well as the statistical nature of the clutter process into the detection framework. Theoretical performance bounds are described, and the performance of such algorithms on data collected in conjunction with the DARPA Backgrounds Clutter Experiment is described.

Full Text

Duke Authors

Cited Authors

  • Collins, L; Gao, P

Published Date

  • January 1, 1998

Published In

  • 1998 Ieee International Conference on Fuzzy Systems Proceedings Ieee World Congress on Computational Intelligence

Volume / Issue

  • 1 /

Start / End Page

  • 237 - 240

International Standard Book Number 10 (ISBN-10)

  • 078034863X

International Standard Book Number 13 (ISBN-13)

  • 9780780348639

Digital Object Identifier (DOI)

  • 10.1109/FUZZY.1998.687490

Citation Source

  • Scopus