9 August 1983 Algebraic Models For Detection Probability And False Alarm Rate
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Proceedings Volume 0363, Advanced Remote Sensing; (1983); doi: 10.1117/12.934168
Event: 26th Annual Technical Symposium, 1982, San Diego, United States
The problem of characterizing detection system performance presents the following dilemma: On the one hand, if the system is good, then performance failures will be extremely rare events. But on the other hand, if the occurrence of rare events is to be characterized, then reliance entirely on Monte Carlo simulation would require an enormous number of runs, and the expense would be prohibitive. Algebraic models contribute a complementary approach to circumvent the problem. Such models can augment the simulation approach in a variety of ways. This paper discusses several such models, focussing particularly on models for detection probability and false alarm rate. Numerical results confirming specific models are presented.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cynthia K. Whitney, William M. Johnson, "Algebraic Models For Detection Probability And False Alarm Rate", Proc. SPIE 0363, Advanced Remote Sensing, (9 August 1983); doi: 10.1117/12.934168; https://doi.org/10.1117/12.934168

Monte Carlo methods

Signal processing

Signal detection

Systems modeling

Data modeling

Performance modeling

Statistical analysis

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