29 May 2014 A uniform method for analytically modeling mulit-target acquisition with independent networked imaging sensors
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Abstract
The problem solved in this paper is easily stated: for a scenario with 𝑛 networked and moving imaging sensors, π‘š moving targets and π‘˜ independent observers searching imagery produced by the 𝑛 moving sensors, analytically model system target acquisition probability for each target as a function of time. Information input into the model is the time dependence of π˜—βˆž and 𝜏, two parameters that describe observer-sensor-atmosphere-range-target properties of the target acquisition system for the case where neither the sensor nor target is moving. The parameter π˜—βˆž can be calculated by the NV-IPM model and 𝜏 is estimated empirically from π˜—βˆž. In this model 𝑛, π‘š and π‘˜ are integers and π‘˜ can be less than, equal to or greater than 𝑛. Increasing 𝑛 and π‘˜ results in a substantial increase in target acquisition probabilities. Because the sensors are networked, a target is said to be detected the moment the first of the π‘˜ observers declares the target. The model applies to time-limited or time-unlimited search, and applies to any imaging sensors operating in any wavelength band provided each sensor can be described by π˜—βˆž and 𝜏 parameters.
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Melvin Friedman, Melvin Friedman, } "A uniform method for analytically modeling mulit-target acquisition with independent networked imaging sensors", Proc. SPIE 9071, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV, 90710O (29 May 2014); doi: 10.1117/12.2054695; https://doi.org/10.1117/12.2054695
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