红外与激光工程, 2005, 34 (2): 208, 网络出版: 2006-05-25
强背景杂波条件下运动的弱小目标检测方法
Moving and weak target detection in heavy clutter background
摘要
根据目标、背景干扰和噪声在红外序列图像中的差异,提出了一种基于空间高通滤波和时间域上N帧轨迹积累的运动小目标检测方法.该方法可以在低信噪比的情况下消除红外起伏和随机噪声的影响,有效检测出弱小目标.实验结果表明,采用这种时空混合处理的方法可以得到满意的结果.
Abstract
According to the imaging difference of target, background clutter and noise, a moving small target detection method based on spacial high-pass filtering and N-frame track accumulating is presented. The method can eliminate the effect of IR clutter and random noise in low signal-to-noise ratio, and can effectively detect the weak small target. Experimental results show that the satisfactory processing result is obtained.
参考文献
[1] . Least-mean-square filters for IR sensors[J]. Applied Optics, 1979, 18: 892-897.
[2] Whalen A.Detection of signals in Noise[M]. San Diego:Academic Press, 1971.
[3] Lion R,Inigo M R,Azimi-Sadjad E S.Dim target detection using high order correlation method[J]. IEEE Trans Aerosp Electron Syst, 1994, AES-29 ( 1 ): 197-212.
[4] Liou R,Azimi-Sadjad E S.Dim target detection and cluttered rejection using modified high order correlation neural network[A].Proceedings of the DCNN seattle[C].1992,1032.701～706.
[5] 孙仲慷,沈振康.数字图像处理及应用[M].北京:国防工业出版社,1985.
李吉成, 沈振康, 李秋华. 强背景杂波条件下运动的弱小目标检测方法[J]. 红外与激光工程, 2005, 34(2): 208. 李吉成, 沈振康, 李秋华. Moving and weak target detection in heavy clutter background[J]. Infrared and Laser Engineering, 2005, 34(2): 208.
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