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Visibility model for minimum resolvable temperature difference prediction

机译:最小可分辨温度差预测的可见性模型

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Abstract: 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. !15
机译:摘要:我们提出了一种预测热成像系统最小可分辨温度差(MRTD)曲线的新模型。由于子系统组件的空间频率限制因素,新模型的分析着重于对比度降低。对于具有典型组件值的系统,已为此模型生成了曲线。将这些结果与从NVL静态性能模型生成的曲线进行比较。所提出的可见性模型导致针对MRTD预测器的相对简单的开发,该预测器可以轻松地解决由于非零系统相位传递函数而导致的伪影。另外,可见性模型不对识别过程做任何假设,因此适用于为客观MRTD测量建模的目标。可见性模型与静态性能模型一致,除了在非常低和非常高的空间频率处,在这种情况下,所提出的模型似乎与实测机读旅行证件中的观测趋势更好地吻合。 !15

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