针对机载光电平台可见光摄像机在执行任务时所面临的场景多样性的特点，对现有调光方法进行了研究，提出一种灰度平均值与区域信息熵相结合的调光方法。方法分为3个步骤，首先是灰度平均值法初调，获得大致清晰的图像; 其次是地面人员提取感兴趣目标区域; 最后是目标区域内利用信息熵法进行调光。实验结果表明，利用此方法可以获得亮度合适、目标区域清晰的图像，同时此方法具备较好的场景适应性，能够满足机载光电平台可见光摄像机的使用需求。

The airborne visible light camera may face kinds of different senses when carrying out missions, so it needs an automatic exposure algorithm that can adapt to the changing environments. After researching on the present methods, a method based on gray-level mean value and partial information entropy is proposed. This method is divided into three steps. First, get an image which is clear enough to identify the main objects using the gray-level mean value method. Then, the ground staff chooses the interested area. In the end the airborne equipment gets an optimal image using the partial information entropy method. The results show that images obtained by this method have appropriate luminance and the object area is clearly displayed. It can meet the requirements of the airborne visible light camera.