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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。
The target transfer probability function is a bridge connecting the imaging system laboratory to measure performance and field performance. According to the idea of triangular direction identification threshold (TOD) performance measurement, for a typical test environment, the recognition probability of target infrared images at different distances is calculated. Based on the visual acuity of triangle target, a seamless triangle meshing algorithm is designed, The equivalent triangles of the measured infrared target image with typical recognition probability are divided and the number of equivalent triangles of the target is determined. Then, the number of equivalent triangular splines and the corresponding recognition probability data are fitted by Weibull visual psychological measurement function, For the first time, the target transfer probability function based on the triangular target is established, which lays the foundation for the field performance prediction using the TOD curve.