基于图像分析的弹丸“出膛时刻”检测算法

现代高炮武器系统在对红外目标进行连续性高炮射击时,首发弹丸的尾焰会对红外观测系统造成严重干扰,会导致红外观测系统短时间内无法观测到目标位置,带来后续弹丸无法精确打击目标等问题。利用红外图像分析技术通过对弹丸出膛时的红外图像特征进行分析,提出了一种基于红外图像分析的弹丸出膛时刻检测算法,从而相对精确地测定出首发弹丸的出膛时刻,为更精确测定弹飞时间和提高武器系统的命中率提供了理论依据和方法支撑。实验结果表明:提出的算法能够相对精确地测定弹丸出膛时刻,算法具有一定的可行性和有效性。

Chamber Projectile Point Detection Algorithm Based on Image Analysis

Modern antiaircraft gun weapon system in continuous artillery firing of infrared target, the first shells plume will of infrared observation system cause serious interference,will lead to the infrared observation system is not observable to the target location and cause subsequent shells failed to hit the target precisely such problems. In this paper,the infrared image analysis technology are analyzed through pop-up gun bore to infrared image features,and a kind of infrared image analysis of shells based on the moment of bore extraction algorithm is put forward,thus relatively accurate measured starting shells out of the chamber,for a more accurate determination of projectile flying time and improve weapon system hit rate provides the theory basis and method support. The experimental results show that the proposed algorithm can accurately determine the muzzle of the gun,and the algorithm is feasible and effective.