Open Access
1 July 2009 Predicting the effect of gain, level, and sampling on minimum resolvable temperature measurements
Richard H. Vollmerhausen
Author Affiliations +
Abstract
We describe a model to predict the minimum resolvable temperature (MRT) performance of thermal imagers. Although MRT is a common measurement, it is difficult to achieve consistent results. The operator is permitted but not mandated to change gain, level, and sample phasing for each bar pattern viewed. Changing the sensor control settings affects the resulting MRT. However, the state of the imager is not recorded along with the temperature data. The model predicts the effect of gain, level, and sample phase on MRT results. Model predictions are compared to measurements to demonstrate theory validity. The comparisons also demonstrate the variability that results from ignoring the sensor state when reporting MRT.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Richard H. Vollmerhausen "Predicting the effect of gain, level, and sampling on minimum resolvable temperature measurements," Optical Engineering 48(7), 076401 (1 July 2009). https://doi.org/10.1117/1.3183897
Published: 1 July 2009
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Data modeling

Modulation transfer functions

Imaging systems

Sensors

Eye

Eye models

Temperature metrology

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