Zhang Shuyuan, Chen Xin, Zu Yingqing, Rao Peng
Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China.
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China.
Sensors (Basel). 2022 Feb 18;22(4):1616. doi: 10.3390/s22041616.
Aero-optical effect correction has become a crucial issue in airborne infrared imaging. However, it is impractical to test the correction algorithm using flight tests and numerical simulation because of its high cost. This study proposes a dynamic imaging simulation method for the infrared aero-optical effect based on a continuously varying Gaussian superposition model. The influence of infrared image degradation under different high-speed aerodynamic flow fields was investigated in detail. A continuously varying Gaussian superposition model was established for flight speed, altitude, and attitude. A dynamic infrared scene simulation model was constructed. Experimental results show that the proposed method can realistically simulate actual aero-optical effects of any flight case. Moreover, it can simulate continuous frames of aerodynamically degraded infrared images. The method uses a simpler model than numerical simulation and provides more data for multitype tasks.
气动光学效应校正已成为机载红外成像中的一个关键问题。然而，由于飞行试验和数值模拟成本高昂，使用它们来测试校正算法是不切实际的。本研究提出了一种基于连续变化高斯叠加模型的红外气动光学效应动态成像模拟方法。详细研究了不同高速气动流场下红外图像退化的影响。针对飞行速度、高度和姿态建立了连续变化高斯叠加模型。构建了动态红外场景模拟模型。实验结果表明，该方法能够逼真地模拟任何飞行情况下的实际气动光学效应。此外，它还能模拟气动退化红外图像的连续帧。该方法使用的模型比数值模拟更简单，为多种类型的任务提供了更多数据。
