时光, 张海洋, 耿仲博, 杨苏辉, 赵长明. 大视场激光主动探测系统实验[J]. 红外与激光工程, 2013, 42(4): 890-894.
引用本文: 时光, 张海洋, 耿仲博, 杨苏辉, 赵长明. 大视场激光主动探测系统实验[J]. 红外与激光工程, 2013, 42(4): 890-894.
Shi Guang, Zhang Haiyang, Geng Zhongbo, Yang Suhui, Zhao Changming. Experiment of large field laser active detection system[J]. Infrared and Laser Engineering, 2013, 42(4): 890-894.
Citation: Shi Guang, Zhang Haiyang, Geng Zhongbo, Yang Suhui, Zhao Changming. Experiment of large field laser active detection system[J]. Infrared and Laser Engineering, 2013, 42(4): 890-894.

大视场激光主动探测系统实验

Experiment of large field laser active detection system

  • 摘要: 据实战条件下对狙击手远距离快速搜索的需求,基于猫眼效应理论改进了猫眼目标最大可探测距离模型,并运用MATLAB软件绘制了相关曲线。搭建了可以对猫眼目标进行大视场、远距离快速搜索的激光主动探测系统样机。实验结果表明,系统样机可以实现距离狙击手1 200 m范围内的激光主动探测,并针对普通和复杂背景图像提出了相应算法,提高了捕获图像的视觉效果,实现了基于猫眼目标特征的自动识别。该研究对提高和改进狙击手探测系统的作战效能具有十分重要的意义。

     

    Abstract: In order to meet the need of the remote rapid search for enemy snipers on the battlefield, the maximum detection distance model based on the theory of cat eye effect was improved. The MATLAB software was used to generate the curves related to laser power, CCD sensitivity, and maximum detection distance. An active laser detection system which was capable to identify the cat eye target in large field of view and long distance quickly was built. The experiment result shows that the prototype system can realize identifying snipers with active laser detection in the distance of 1 200 m. A feature recognition algorithm for images captured under complex background was put forward, which greatly improved the visibility of the captured images in the experiment. Automatic feature recognition based on the cat eye target was realized. The research is very important to enhance and improve the effectiveness of the laser active detection system on the battlefield.

     

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