摘要
为检测强杂波背景中的红外弱小运动目标,提出了一种基于三阶累积量的检测新方法.该方法利用图像中目标经过时像素点灰度值有起伏变化这一特点,将其看作是一种非高斯弱瞬态信号,通过构造三阶累积量对其进行检测.此三阶累积量估计中的去均值处理同时实现了背景杂波的抑制,较好地改善了信杂比(SCR),提高了单帧检测性能.实验表明,该方法能够有效地抑制强杂波背景,在SCR>1时,能可靠检测目标.
A new algorithm based on third-order cumulant was proposed to detect a moving dim infrared target under heavy background. Because the grey-scale value of a pixel in an image has fluctuation when a target passes by, this fluctuation can be viewed as a non-Gaussian weak transient signal, and its third-order cumulant can be calculated to detect this signal. The process of average-value-subtraction in the estimation of the third-order cumulant also suppresses the background clutter, and leads to a great improvement of the signal to clutter ratio （SCR） and the probability of the detection in single frame. The experimental results show that the algorithm can effectively suppress heavy clutter background and reliably detect dim infrared targets when SCR is larger than 1.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第5期364-367,共4页
Journal of Infrared and Millimeter Waves
基金
国防预研基金项目(51402030105DZ0177)
关键词
弱小目标检测
瞬态信号检测
三阶累积量
红外图像序列
dim target detection
transient signal detection
third-order cumulant
IR image sequence
