红外小目标检测中的背景预处理技术研究

The Preprocessing for Detecting Infrared Small Targets

研究了红外小目标检测的预处理方法。建立了红外小目标图像的场景模型。对现今几种常用的背景预处理技术进行了分析和对比。实验结果表明,在实际应用中,要根据处理要求进行合理的选择。并且可以将这些方法组合起来,形成多级处理,取得理想的预处理效果。

The preprocessing for detecting infrared small targets under complex background is focused on. The scene model of infrared small target image was established. Sexeral methods of background preprocessing nowadays were analyzed and compared. The experimenlal results indicate that in practical application appropriate methods should be chosen for different purpose. In order to get good preprocessing effects, these methods can be assembled into multi-process.