2009
DOI: 10.1117/1.3183897
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Predicting the effect of gain, level, and sampling on minimum resolvable temperature measurements

Abstract: Abstract. We describe a model to predict the minimum resolvable temperature ͑MRT͒ 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… Show more

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Cited by 8 publications
(3 citation statements)
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“…[13] The current NVThermIP MRT model uses three different values for the scene contrast temperature .…”
Section: Modeling Mrt Gain Conditionsmentioning
confidence: 99%
“…[13] The current NVThermIP MRT model uses three different values for the scene contrast temperature .…”
Section: Modeling Mrt Gain Conditionsmentioning
confidence: 99%
“…Non-uniformity correction techniques for infrared detector and camera to measure temperature accurately were also developed [1][2][3][4], and minimum resolvable temperature was predicted in thermal imaging sensing [5,6]. Thermal radiation also changes from typical blackbody radiation when the size of the body is reduced [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…The size effect of thermal radiation was investigated in one, two, and three dimensions [2][3][4]. Non-uniformity correction techniques for infrared detector and camera to measure temperature accurately were developed [5][6][7][8] and minimum resolvable temperature was predicted in thermal imaging sensing [9]. Effective temperature was calculated for non-uniform temperature distribution [10][11][12].…”
Section: Introductionmentioning
confidence: 99%