Metric to compare and optimize classifiers for multiping mine hunting data
R.A. Smith · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Given detection opportunities, mine hunting relies heavily upon the availability of effective and efficient classification techniques, particularly when trying to hunt mines in cluttered environments. A wide range of classification techniques is currently available. However, given the absence of a widely accepted quantitative measure of classifier performance, the best system for any particular application is not always obvious.