强噪声背景下红外弱小目标的快速检测方法

New method of IR small dim target detection in big clutter background

提出了一种强噪声背景下弱小目标的快速检测方法,解决了在此背景下存在厚云层和大运动杂波的问题。在分析了强噪声背景图像之后,提出了采用矩形结构元的形态滤波算子进行背景抑制,对处理后的图像进行双门滤波,实验结果令人满意,易于硬件实现。

A new method of IR small dim target detection based on big clutter background was provided. It worked well in heavy cloud and big moving clutter background. After analyzing the characters of big clutter background IR images, a new method was provided to detect the target using rectangle structure cell to eliminate noise based on morphological filter operator. Then, the later image was processed by doubled gated filter. The experiments process real data, and the results meet well and easy to realize by hardware.