Use of rank-based decision level fusion in landmine discrimination

J. N. Wilson

doi:10.1117/12.782425

29 April 2008 Use of rank-based decision level fusion in landmine discrimination

J. N. Wilson

Proceedings Volume 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII; 69531E (2008) https://doi.org/10.1117/12.782425
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

J. N. Wilson "Use of rank-based decision level fusion in landmine discrimination", Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 69531E (29 April 2008); https://doi.org/10.1117/12.782425

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