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27 April 2007 Landmine discrimination using the Kullback-Leibler distance
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. N. Wilson "Landmine discrimination using the Kullback-Leibler distance", Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 65532B (27 April 2007);

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