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Proceedings Paper

Improved correlation-based detector for hand-held landmine detector
Author(s): King C. Ho; Paul D. Gader
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Paper Abstract

We propose in this paper an improved correlation based GPR algorithm for a hand-held landmine detector. The previously proposed correlation based detector (CorrDet) generates prediction errors at different frequency bins and sums the prediction errors to generate a statistical quality for detection. The improved CorrDet applies weighting on the prediction errors before they are added to generate the detection value. The purpose of weighting is to emphasize the prediction error values in the frequency bins that are less affected by clutter. The weighting technique is found to be very effective, especially in detecting deep anti-tank mines and small anti-personnel mines. The performance improvement of the proposed algorithm is demonstrated using seven data sets obtained at different sites and soil conditions that contain over 2300 mine targets.

Paper Details

Date Published: 18 October 2001
PDF: 11 pages
Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); doi: 10.1117/12.445501
Show Author Affiliations
King C. Ho, Univ. of Missouri/Columbia (United States)
Paul D. Gader, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 4394:
Detection and Remediation Technologies for Mines and Minelike Targets VI
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Vivian George, Editor(s)

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