舰载激光通信中,成功捕获信标光是通信链路建立的首要条件。为了实现复杂海面背景下信标光自动检测,针对简单背景提出了基于阈值分割的质心提取算法,此算法适用于简单背景下信标光的检测。实验结果表明,此方法简单有效、实时性好,单帧目标结算时间小于20 ms。同时,针对复杂海面背景,质心提取算法易受到反射光及鱼鳞光的影响,提出了基于水天线检测下信标光自动检测提取的方法,仿真试验结果表明，此算法可以有效抑制太阳反射光的干扰。最后研究了基于Haar特征与光流法相结合的目标识别技术,为信标光的检测提供了一种新的方法。

In shipborne laser communications, the successful acquisition of beacon light is the primary condition for the establishment of communication links. In order to realize the complex sea surface background beacon automatic detection in simple background, the centroid extraction algorithm is proposed based on threshold segmentation. This algorithm is applied to the detection of simple background beacon. The experimental results show that this method is simple, effective, and real-time. The single frame target settlement time is less than 20 ms. At the same time, in view of the complex sea background centroid extraction algorithm is easily affected by the reflected light and light scales. The method is proposed based on water extraction method of beacon antenna detection under automatic light detection. The simulation results show that this algorithm can effectively suppress the interference of reflected light of the sun. Finally, the target recognition technology based on Haar feature and optical flow is studied, which provides a new method for beacon detection.