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Uncertainty Estimation For Target Detection System Discrimination And Confidence Performance Metrics, David R. Parker
Uncertainty Estimation For Target Detection System Discrimination And Confidence Performance Metrics, David R. Parker
Theses and Dissertations
This research uses a Bayesian framework to develop probability densities for target detection system performance metrics. The metrics include the receiver operating characteristic (ROC) curve and the confidence error generation (CEG) curve. The ROC curve is a discrimination metric that quantifies how well a detection system separates targets and non-targets, and the CEG curve indicates how well the detection system estimates its own confidence. The degree of uncertainty in these metrics is a concern that previous research has not adequately addressed. This research formulates probability densities of the metrics and characterizes their uncertainty using confidence bands. Additional statistics are obtained …