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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 fast detection method of small and weak targets in strong noise is proposed, which solves the problem of thick clouds and large motion clutter in this background. After analyzing the strong noise background image, the paper proposed a morphological filter operator with rectangular structure elements to suppress the background, and then filtered the two images with the two-door filter. The experimental results are satisfactory and easy to implement in hardware.