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Improved signal processing approaches for land mine detection

Publication ,  Conference
Gao, P; Collins, LM
Published in: Proceedings of SPIE - The International Society for Optical Engineering
December 1, 1998

In our previous work, we have shown that a model-based Bayesian approach to the detection of mines affords significant performance gains for both time-domain and frequency-domain electromagnetic induction (EMI) sensor over standard thresholding techniques. Our methodology merges physical models of the evoked target response with a probabilistic description of the clutter, and provides both an optimal detection algorithm, under a specific set of assumptions, and performance evaluation measures in the form of probability of detection (Pd) and probability of false alarm (Pfa). This approach was validated on data obtained during the DARPA Backgrounds Clutter Data Collection Experiment. In this paper, we review these results, and also present theoretical results that show that utilization of the entire multi-channel time-domain or frequency-domain waveform always affords an improvement in detection performance over single-channel systems. In addition, we present results that indicate that including spatial information into the processor substantially reduces the false alarm rates over processors in which this spatial information is not included. Finally, we discuss the performance of a more advanced detector, also formulated using signal detection theory, in which uncertainty in the placement of the mine in the environment is incorporated into the detector. ©2003 Copyright SPIE - The International Society for Optical Engineering.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

December 1, 1998

Volume

3392

Start / End Page

1034 / 1043

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

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Gao, P., & Collins, L. M. (1998). Improved signal processing approaches for land mine detection. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3392, pp. 1034–1043). https://doi.org/10.1117/12.324150
Gao, P., and L. M. Collins. “Improved signal processing approaches for land mine detection.” In Proceedings of SPIE - The International Society for Optical Engineering, 3392:1034–43, 1998. https://doi.org/10.1117/12.324150.
Gao P, Collins LM. Improved signal processing approaches for land mine detection. In: Proceedings of SPIE - The International Society for Optical Engineering. 1998. p. 1034–43.
Gao, P., and L. M. Collins. “Improved signal processing approaches for land mine detection.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 3392, 1998, pp. 1034–43. Scopus, doi:10.1117/12.324150.
Gao P, Collins LM. Improved signal processing approaches for land mine detection. Proceedings of SPIE - The International Society for Optical Engineering. 1998. p. 1034–1043.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

December 1, 1998

Volume

3392

Start / End Page

1034 / 1043

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering