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Visibility model for minimum resolvable temperature difference prediction

机译:最小可解变温差预测的可见性模型

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We present a new model for predicting the minimum resolvable temperature difference (MRTD) curve of thermal imaging systems. The analysis for the new model concentrates on contrast reduction due to spatial frequency limiting factors of subsystem components. Curves have been generated for this model for a system with typical component values. These results are compared with curves generated from the NVL's static performance model. The proposed visibility model leads to a relatively simpler development for a MRTD predictor which can readily account for artifacts due to a nonzero system phase transfer function. In addition the visibility model makes no assumptions regarding the recognition process and therefore is adaptable to the goal of modeling an objective MRTD measurement. The visibility model agrees with the static performance model except at very low and very high spatial frequencies where the proposed model appears to be in better agreement with observed trends in measured MRTDs.
机译:我们提出了一种预测热成像系统的最小可分辨温差(MRTD)曲线的新模型。子系统组件空间频率限制因子的对比度降低新模型集中的分析。对于具有典型分量值的系统,已为此模型生成曲线。将这些结果与来自NVL静态性能模型产生的曲线进行比较。所提出的可见性模型导致MRTD预测器的相对简单的开发,这可以容易地解释由于非零系统相位传递函数引起的伪影。此外,可见性模型没有关于识别过程的假设,因此适用于建模客观MRTD测量的目标。能见度模型与静态性能模型同意,除了在非常低,非常高的空间频率外,拟议的模型似乎与所测MRTD的观察到趋势更好。

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