摘要
首先,提出了一种红外场景生成与修正方法,利用外场靶试实测数据建立了红外场景的转换模型与修正模型。然后,通过转换模型将实测数据转换为场景模拟器的驱动图像,通过修正模型迭代修正模拟器的驱动图像,实现图像驱动模拟器生成的物理场景与实测数据对应的物理场景高度一致。最后,结合导引头敏感特性对仿真场景与靶试场景进行相似性度量。结果表明,本方法有效利用了实测数据,简化了红外成像仿真中目标特性建模及场景渲染生成的复杂过程,为仿真生成与外场靶试辐射特性一致的红外场景提供了可行途径。
Firstly, a method of infrared scene generation and correction was proposed in this paper, and a transformation model and a correction model of infrared scene were established based on the measured data obtained in the test range. Secondly, the measured data were transformed into the driving image of the scene simulator by the transformation model, and the driving image was iteratively corrected through the correction model, so that the simulated scene, which was projected by the scene simulator with the driving image as its input, was highly consistent with the test range scene corresponding to the measured data. Finally, the similarity evaluation between the simulated scene and the measured scene was carried out based on the sensitive features of the seeker. The conclusion showed that the transformation model and correction model had an efficient use of the measured data, eliminated the complex process of the target characteristics modeling and scene rending in the infrared imaging simulation, and provided a feasible approach to simulating the infrared scene with the same radiation characteristics as the test range.
引文
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