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Validating model predictions of MRT measurements on LWIR imaging systems

机译:在LWIR成像系统上验证MRT测量的模型预测

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The predicted Minimum Resolvable Temperature (MRT) values from five MRT models are compared to the measured MRT values for eighteen long-wave thermal imaging systems. The most accurate model, which is based upon the output of NVTherm IP, has an advantage over the other candidate models because it accounts for performance degradations due to blur and bar sampling. Models based upon the FLIR 92 model tended to predict overly optimistic values for all frequencies. The earliest models for MRT's for staring arrays did not incorporate advanced eye effects and had the tendency to provide pessimistic estimates as the frequency approached the Nyquist limit.
机译:将来自五个MRT模型的预测最低可分辨温度(MRT)值与十八个长波热成像系统的测量MRT值进行比较。基于NVTherm IP输出的最准确的模型比其他候选模型具有优势,因为它可以解决由于模糊和条形采样而导致的性能下降。基于FLIR 92模型的模型倾向于预测所有频率的过度乐观值。最早用于凝视阵列的MRT模型没有合并高级眼效应,并且随着频率接近Nyquist极限,倾向于提供悲观的估计。

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