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Proceedings Paper

Use of rank-based decision level fusion in landmine discrimination
Author(s): J. N. Wilson
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Paper Abstract

The paper discusses the fusing of results from classifiers and discriminant functions. It explores the relationship between the Bayesian opinion pooling of classifier results and the linear pooling of ranks generated by normalizing discriminant values. This work is closely related to current research rank preference aggregation. I discuss a method of using gradient ascent to choose appropriate aggregation parameters from a surface comprising the Wilcoxon-Mann-Whitney statistic and discuss the importance of including negative weights in that search. Finally I recap the results of applying this method to a large-scale collection of landmine data from a vehicular mounted mine detection system.

Paper Details

Date Published: 29 April 2008
PDF: 9 pages
Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 69531E (29 April 2008); doi: 10.1117/12.782425
Show Author Affiliations
J. N. Wilson, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 6953:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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