为了排除云雾对扫描式激光引信的干扰,满足激光引信在高速弹目交会情况下的云雾目标辨别精度及实时性,提出了一种角点特征与矩形度相结合的目标识别方法。该方法利用MATLAB计算目标图像的角点数量及矩形度并以此进行目标辨别,提高了对飞机目标辨别的实时性。利用三维飞机模型模拟飞机各种飞行姿态,用得到的多种姿态的局部图像对识别方法进行验证,仿真结果表明,利用该方法能快速有效的将目标与云雾区分开来。

To exclude the interference of clouds to scanning laser fuze, meet the requirements of identification precision and real-time performance of fuze when missile and target intersect in high speed, a target feature recognition method based on the characteristics of corner point was proposed. The method uses MATLAB to extract corner point of target matrix and calculate the rectangle degrees of corner point area and use corner point and rectangle degrees of corner point area to distinguish between target and clouds, and improve the real-time performance of aircraft target identification. Three-dimensional model was used to simulate aircraft flight attitude which verified Harris algorithm with variety of attitude of the local plane image matrix. The simulation results show that using this method, target and clouds can be quickly and efficiently distinguished.