In a smoke environment, target recognition is a pivotal problem faced by imaging-guided weapons and reconnaissance equipment. In fact, the transmittance of smoke is the main hindrance to recognition. In this study, a numerical method for extracting pixel radiance to calculate infrared (IR) smoke transmittance is proposed. First, a description of the field test and the equation governing the transmittance of IR smoke are introduced. Next, a method for extracting pixel radiance from an IR image is presented; specifically, a scheme that uses a bicubic interpolation algorithm, to calculate the radiance of the background pixels is presented. Finally, the steps of the method are illustrated through a test example. The results show that the new method eliminates the anomaly of the transmittance value being less than 0 or greater than 1, and in addition, yields sufficiently accurate solutions for engineering applications.

在烟雾环境中，目标识别是成像制导武器和侦察设备面临的关键问题。实际上，烟雾的透射率是识别的主要障碍。在这项研究中，提出了一种提取像素辐射率以计算红外烟雾透射率的数值方法。首先，介绍了现场测试的描述和控制红外烟雾透过率的方程式。接下来，提出一种从红外图像中提取像素辐射的方法。具体而言，提出了一种使用双三次插值算法来计算背景像素的辐射度的方案。最后，通过一个测试示例说明了该方法的步骤。结果表明，新方法消除了透射率值小于0或大于1的异常，此外，