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Proceedings Paper

Three-dimensional features to improve detection using ground-penetrating radar
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Paper Abstract

Two new features are presented to improve the detection of Anti-Tank (AT) landmines using Ground Penetrating Radar (GPR). A simplified three dimensial physics based model is used as the basis for the features. We combine these features with the results of an algorithm known as LMS. We present promising feature detection algorithms known as Rings N' Things (RNT) and Cross Diagonal Enhancement Processing (CDEP) and our approach to combining the new features with the LMS features using logistic regression techniques. Test results from data gathered at multiple sites covering hundreds of mines and thousands of square meters is analyzed and presented.

Paper Details

Date Published: 21 September 2004
PDF: 10 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.542946
Show Author Affiliations
David A. Lang, Mine Detection Consulting (United States)
Brian M. Dustin, Mine Detection Consulting (United States)
Peter A. Torrione, Duke Univ. (United States)
Leslie M. Collins, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

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