摘要
红外图像小目标检测问题是当前的研究热点。为了检测出起伏背景下的弱小目标,需要对红外图像进行背景抑制。文中对自适应背景估计技术进行了理论研究,并采用循环滤波法和线性、非线性的混合滤波分别对算法进行了改进且给出了实验结果。结果表明,改进了的算法比原算法对背景抑制参数(BSF)和信噪比增益(SNIR)都有所改善,对于红外起伏背景的估计具有一定的实际意义。
The detection problem of point targets in IR images is a hot spot nowadays.In order to detect the weak targets from clutter background,the background suppression of IR image is necessary.This paper studies the adaptive background suppression technology and presents improved algorithms.Experiments are done to analyze the performance.the results show that the improved algorithms are better than the original one both in BSF(Background Suppression Factor )and SNIR(Signal Noise Improvement Ratio).And it has practical value in engineering.
出处
《弹箭与制导学报》
CSCD
北大核心
2004年第3期24-27,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
自适应滤波
红外
背景估计
小目标
adaptive filtering
infrared
background estimation
point targets
