基于Wiener滤波的小目标检测方法

Algorithm of small targets detection based on Wiener filter

红外云背景中小目标检测是红外成像技术的一种典型应用。为了检测红外云背景中的弱小目标,分析了背景特性,建立了红外场景模型,提出了一种基于Wiener滤波的自适应背景抑制方法。经过去除虚假目标和目标分割,再利用目标运动的连续性和规则性进行目标检测和跟踪。对包含了仿真目标的红外云背景图像序列进行了实验,结果表明,该方法能够有效地从信噪比为2.0的背景中检测到小目标。

Detecting targets from infrared cloud background is a typical application of infrared imaging techniques. In order to detect small targets from infrared cloud background, the background properties were analyzed, the infrared background model was built, and an adaptive background suppression algorithm based on Wiener filter was put forword. After getting rid of the fake targets and targets segmentation, the targets were detected and tracked. Experiments were done in infrared cloud background containing simulated targets. The experimental results show that this algorithm can effectively detect targets from infrared cloud background image sequences whose SNR equal to 2.0.