Share Email Print

Proceedings Paper

Landmine discrimination using the Kullback-Leibler distance
Author(s): J. N. Wilson
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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, Editor(s)

© SPIE. Terms of Use
Back to Top