海面舰船的长波红外热像仿真

Infrared thermography simulation of long-wave for ships on sea surface

  • 摘要: 基于舰船和海面的红外辐射差异,可利用红外探测器识别目标舰船。将采用CFD软件获取的舰船表面温度场与Blender软件建立的粗糙背景海面场进行耦合,并使用Modtran大气软件计算其在海洋大气环境中的透过率,基于逆向蒙特卡洛法编写热像算法,获取不同探测条件下8 μm~12 μm波段的红外热像。结果表明:热像中舰船的红外特征主要集中在烟囱和动力舱部位,是识别目标的主要位置;随着探测高度的增加,识别舰船红外特征的难度增加,通过调整相机焦距可捕捉到详细的目标特征。

     

    Abstract: On the basis of the infrared radiation difference between ships and the sea surface, it is possible to use infrared detectors to identify target ships. The surface temperature field of the ships obtained by CFD software and the rough background sea surface field established by Blender software were used, and the transmittance in the oceanic atmospheric environment was calculated using the Modtran atmospheric software. Based on reverse Monte Carlo method, a thermal imaging algorithm was developed to obtain the 8 μm~12 μm infrared thermal images under different detection conditions. The results show that the infrared features of the ships in the thermal image are mainly concentrated in the chimney and power plant compartment, which is the main location for identifying the target. As the detection height increases, the difficulty of identifying the infrared features of the ships increases, and the detailed target features can be captured by adjusting the camera focal length.

     

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