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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。
Small target detection in infrared cloud background is a typical application of infrared imaging technology. In order to detect weak targets in the infrared cloud background, the background characteristics are analyzed, an infrared scene model is established, and an adaptive background suppression method based on Wiener filtering is proposed. After removing the false target and target segmentation, and then use the continuity and regularity of the target motion detection and tracking of the target. Experiments on the infrared cloud background image sequences with simulated targets show that this method can effectively detect small targets from the background with a signal to noise ratio of 2.0.