Cost-Aware Design of a Discrimination Strategy for Unexploded Ordnance Cleanup.

摘要

The objective of this project was to conduct a preliminary investigation into the potential benefit of awareness of the specific performance criterion (100% UXO detection) in each stage of the UXO discrimination processing strategy. This project consisted of several large- scale classification studies to carefully analyze the performance of different classification algorithms and the effects of training data when operating at 100% UXO detection. The various classification algorithms included in this study provide a diverse representation of the different theoretical approaches to pattern classification, and allow for comparison of the effect of different classifier properties on performance at the 100% detection operating point. This study provides evidence that the desire to operate at 100% detection may lead to a preference for certain algorithms in the different stages of the discrimination strategy. Careful consideration and selection of methods used in each stage of discrimination strategy may greatly impact performance at the 100% detection goal.