一种红外弱小目标检测新方法

研究天空背景下红外运动弱小目标的检测。对红外序列图像进行累积后进行小波分析，再采用自适应门限处理，使用小波反变换将背景中低频分量和高斯噪声去除，再采用非线性滤波，最后再使用累积的方法找出目标，并得到目标航迹。实验结果表明，该方法能有效地检测定位运动红外弱小目标，并具有很强的抗噪声性能。

A New Method of Infrared Small Weak Targets Detection

The infrared weak targets are enhanced by the using of the integration. The wavelet analysis is presented to remove the background from the image. The adaptive threshold can improve the effect of the operation. The nonlinear filter is useful to cut down the numbers of the detected points. At last, according to the results of integration, the targets in the sequence of images are recognized and the moving trajectories of the target are acquired. The experiment results indicate that this method can detect and locate small moving target validly and is robust respect to noise interference.