Simulation of rocket plume infrared images by computer programs is an important method to study their infrared radiation characteristics. In order to improve the computation efficiency, a simulation method based on CUDA was proposed. Firstly, the characteristics of the LOS (Line of Sight) method in radiative transfer calculation were analyzed. All the path points of LOS method were calculated in advance, and the parallel level was promoted to the number of path points of LOS method and bands of spectrum. In this case, more threads could be mobilized at the same time, and the utilization of GPU was improved. Secondly, A hardware bilinear interpolation method using CUDA texture memory was proposed, which greatly improved the calculation efficiency of physical parameters of the components. Finally, CUDA was also used for acceleration in the projection imaging module of spaceborne infrared sensor. The simulation results show that using CUDA for parallel computing to realize physical parameters search and projection imaging can greatly improve the overall simulation efficiency of rocket plume infrared images.
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