建立了一种包含蒙皮和尾焰的空中目标红外辐射成像GPU并行计算方法。采用SLG模型计算尾焰辐射气体的红外特性，采用LOS方法求解尾焰红外辐射传输方程，根据本体与三维尾焰的成像几何关系，采用正向光线追迹方法计算蒙皮辐射成像，采用反向光线追迹方法计算尾焰辐射成像，建立了目标投影算法，并在蒙皮投影计算模块和尾焰辐射计算模块采用CUDA并行提高计算速度，实现了探测器入瞳处目标红外光谱图像的快速计算。结果表明：投影成像算法可准确生成设定条件下的目标图像，目标红外图像辐射分布与温度分布一致，尾焰辐射强度计算结果与实验结果符合较好，CUDA并行算法可有效提高程序的计算效率，当计算量较大时，蒙皮投影模块的计算加速可达百倍以上。

A GPU parallel computing method for infrared target imaging was established, in which skin and plume was included. The SLG model was used to calculate the infrared characteristics of the radiation gases, and the LOS method was used to solve the infrared radiation transmission equation of the plume. According to the imaging geometry relationship between the surface and the three-dimensional plume, a target projection algorithm was established, in the method the forward ray tracing method was used to calculate the surface radiation imaging, and the reverse ray tracing method was used to calculate the plume radiation imaging. The CUDA parallel method was used to increase the calculation speed in the skin projection calculation module and the plume radiation calculation module, and the fast calculation of the target infrared spectrum image at the entrance of the detector was realized. The results show that the projection imaging algorithm can accurately generate the target image under the set conditions. The radiation distribution of the target infrared image is consistent with the temperature distribution. The calculation result of the tail flame radiation intensity is in good agreement with the experimental results. The CUDA parallel algorithm can effectively improve the computational efficiency of the program, the calculation speed of the skin projection module can be more than hundred times when the amount of calculation is large.