海面杂波背景下红外图像中舰船目标的检测

Ship detection in sea infrared image with complex clutter background

复杂杂波背景下,海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的目标。为了实现这个目标,首先利用Haar小波函数进行小波变换,对图像进行预处理;然后进行恒虚警检测(CFAR);第三步采用行程法对检测的目标进行标记;最后采用管道滤波法剔出虚假目标,检测出真正的目标。经仿真实验证明,此方法能有效地降低虚警,在复杂杂波背景中检测出目标。

The key of ship detection in sea infrared image with complex clutter background is how to reduce false alarms and detect true targets.In order to achieve this aim,a novel algorithm is proposed.First,Haar wavelet transform technology is used as preprocessing,then constant false alarm rate(CFAR) detetion,then run-length label to mark objects detected by the above step,finally pipeline filter to reduce false alarms and detect true targets.Experiment results indicate that this method can effectively reduce false alarms and detect true targets in complicated sea background.