Metric to compare and optimize classifiers for multiping mine hunting data

Roderick A. Smith

doi:10.1117/12.396258

22 August 2000 Metric to compare and optimize classifiers for multiping mine hunting data

Roderick A. Smith

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396258
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Roderick A. Smith "Metric to compare and optimize classifiers for multiping mine hunting data", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396258

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