基于高阶累计量的红外图像弱小点目标检测

Detecting Dim Point Target in Infrared Images Using High-Order Cumulant

提出了一种检测大地背景下弱小点目标的新方法。利用三阶以上的高阶累计量恒等于零,即对于高斯随机过程“盲”的特性,在门限判断预处理的基础上,运用设计的3×3滑窗模板和高阶累计量方法检测红外图像背景中的运动点目标。通过对实际录取图像的仿真处理,说明了上述方法的有效性。

A new procedure of detecting weak and point infrared targets in the background clutter was presented in this paper. Based on the fact that the cumulant of three order or above is constant zero, that is to say it blinds to Gaussian processes. Using this property, after thresholding preprocess, the dim point target was detected by high-order cumulant（HOC）. Simulation of practical infrared images verify the effect of the procedure.