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Proceedings Paper

Landmine discrimination using the Kullback-Leibler distance
Author(s): J. N. Wilson
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Paper Abstract

This study looks at application of the Kullback-Leibler distance to classification in landmine discrimination. The paper explores the relationship between the information theoretic concepts of the Kullback-Leibler divergence and mutual information with special attention to the asymmetry of the typical formulation of the Kullback-Leibler distance. It shows how to use the Kullback-Leibler distance to discriminate between mines and nonmines by performing Fuzzy C-Means clustering of the density distribution of landmine electromagnetic induction signatures. Finally, it reports cross-validation results of applying these techniques to a large collection of actual landmine data and compares the results to those yielded using moments and Euclidean distance.

Paper Details

Date Published: 27 April 2007
PDF: 7 pages
Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 65532B (27 April 2007); doi: 10.1117/12.722284
Show Author Affiliations
J. N. Wilson, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 6553:
Detection and Remediation Technologies for Mines and Minelike Targets XII
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

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