论文部分内容阅读
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20ms。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 carrier-based laser communications, the successful capture of beacon light is the primary condition for establishing a communications link. In order to realize automatic detection of beacon light under complex sea background, centroid extraction algorithm based on threshold segmentation is proposed for simple background. This algorithm is suitable for the detection of beacon light under simple background. Experimental results show that this method is simple and effective, real-time performance is good, single frame target settlement time is less than 20ms. At the same time, the centroid extraction algorithm is sensitive to reflected light and fishscale light for complex sea background. A method of automatic detection and extraction of beacon light based on water antenna detection is proposed. The simulation results show that this algorithm can effectively restrain the solar reflected light interference. Finally, the target recognition technology based on Haar feature and optical flow method is studied, which provides a new method for the detection of beacon light.