Paper
23 October 2023 Parameterised MRTD
Steinar Børve
Author Affiliations +
Abstract
A large number of factors may influence the performance of thermal surveillance systems used in any given scenario. Highly accurate predictions of acquisition range for a sensor therefore requires the access to specialized numerical tools with a large number of input parameters. At the other hand, simple range estimations with acceptable accuracy can be made for situations of ideal conditions by applying the Johnson Criteria. However, such an approach completely ignores the effect of low signal contrast and atmospheric attenuation and would therefore be unsuited for many real-world scenarios. This work proposes an alternative method, of medium accuracy and complexity, for estimating the acquisition range of thermal sensors. It relies on the well-known concept of Minimum Resolvable Temperature Difference (MRTD), and the method represents the MRTD information for a given sensor by a parametric curve. The form of the parametric curve is chosen so that the observation range can be estimated from a simple second-order equation. The new method has several advantages. First, uncertainties in calculated acquisition range can easily be estimated based on input parameter uncertainties. Secondly, linear approximations can be made for classes of scenarios by making specific assumptions about thermal contrast and atmospheric attenuation. Thirdly, the method can form the basis for a more generalised solver that can handle an even wider range of scenarios. In this work, the new method called Parameterised MRTD (PMRTD) is outlined. Linear approximations to the solutions are derived. In addition, the solution for relevant examples are shown and discussed.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Steinar Børve "Parameterised MRTD", Proc. SPIE 12737, Electro-Optical and Infrared Systems: Technology and Applications XX, 127370K (23 October 2023); https://doi.org/10.1117/12.2676696
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KEYWORDS
Minimum resolvable temperature difference

Sensors

Target recognition

Attenuation

Signal attenuation

Target detection

Atmospheric modeling

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