中文摘要：

目标传递概率函数是连接成像系统实验室度量性能与现场性能的桥梁.依据三角形方向鉴别阈值（TOD）性能度量思想,针对典型试验环境,.统计了不同距离处目标红外图像的识别概率;以三角形靶标的视觉锐度为基准,设计了无缝三角形网格划分算法,对典型识别概率的实测红外目标图像进行了等效三角形划分,确定了目标对应的等效三角形数目;然后,利用Weibull视觉心理测量函数拟合目标等效三角形样条数目与对应的识别概率数据,首次建立了基于三角形靶标的目标传递概率函数,为利用TOD曲线进行现场性能预测奠定了基础.

英文摘要：

Target transfer probability function was a bridge that linked infrared imaging system performance measurement with the field performance. According to Triangle Orientation Discrimination Threshold （TOD） measure idea, the discrimination probabilities of infrared target image at different ranges were determined focusing on typical experimental environment. The infrared target in the real background were closely meshed into many equivalent triangle patterns by considering visual acuity, and the number of triangle pattern was statistically determined. Furthermore, the Weibull psychophysical functions were used to fit the number of the equivalent triangle pattern and the corresponding discrimination probabilities, and the target transfer probability function was established firstly, which provided a theoretical model for the field performance prediction based on the TOD curve.