摘要
针对低信噪比,海空背景的红外图像中的弱小目标检测问题,文中提出一种基于高斯内核的自适应滤波方法,并将它应用于红外图像的背景抑制,在残差图像的均值、方差和信噪比这三项性能指标方面都有所改善。在此基础上,根据残差图像的信噪比,自适应的设定分割门限,分割红外图像中存在的可疑目标。实验表明,这种方法是有效的,且性能良好。
With the problem of the small target detection in low SNR and sky-sea background conditions,the paper pro- posed a method which based on the adaptive filter with Gauss function.Applied this method to background estimation of the infrared image,and the results in the aspects of the mean,the standard deviation and the SNR of the image were better.Then.we found the threshold adaptively to segment the target in the image according to the SNR value.Simula- tion results show that the methods are efficient and the capabilities of the methods are better.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第SC期747-749,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
小目标
自适应滤波
背景估计
目标分割
small target
adaptive filtering
background estimation
target segmentation
