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Author Clauter, Dean A. ♦ Runco, Anthony M. ♦ Louthain, James A.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract We introduce novel methods to determine optimum detection thresholds for the Progressive Mul-ti-Channel Correlation (PMCC) algorithm used by the International Data Centre (IDC) to perform infrasound and seismic station-level nuclear-event detection. Receiver Operating Characteristic (ROC) curve analysis is used with real ground truth data to determine the trade-off between the probability of detection ()DP and the false alarm rate (FAR) at various detection thresholds. Further, statistical detection theory via maximum a posteriori and Bayes cost approaches is used to determine station-level optimum “family ” size thresholds before detections should be considered for network-level processing. These threshold-determining methods are extensible for family-cha-racterizing statistics other than “size, ” such as a family’s collective F-statistic or signal-to-noise ra-tio (SNR). Therefore, the reliability of analysts ’ decisions as to whether families should be pre-served for network-level processing can only benefit from access to multiple, independent, opti-
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study