A uniform method for analytically modeling mulit-target acquisition with independent networked imaging sensors

Melvin Friedman

doi:10.1117/12.2054695

29 May 2014 A uniform method for analytically modeling mulit-target acquisition with independent networked imaging sensors

Melvin Friedman

Author Affiliations +

Proceedings Volume 9071, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV; 90710O (2014) https://doi.org/10.1117/12.2054695
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The problem solved in this paper is easily stated: for a scenario with 𝑛 networked and moving imaging sensors, 𝑚 moving targets and 𝑘 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 𝘗_∞ 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 𝘗_∞ can be calculated by the NV-IPM model and 𝜏 is estimated empirically from 𝘗_∞. In this model 𝑛, 𝑚 and 𝑘 are integers and 𝑘 can be less than, equal to or greater than 𝑛. Increasing 𝑛 and 𝑘 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 𝑘 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 𝘗_∞ and 𝜏 parameters.

Citation Download Citation

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); https://doi.org/10.1117/12.2054695

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