基于DSP的序列图像弱小运动目标检测

Multiframe detection of dim target based on DSP

针对强杂波背景中的弱小运动目标检测问题,在分析弱小目标的运动特性在时频变换中表现出显著差异的基础上,采用两级滤波方法检测运动目标,提出了一种基于DSP的序列图像弱小运动目标检测方法。该方法首先对序列图像进行预处理、设置门限过滤噪声,然后根据目标和杂波的时频特征差异识别出弱小运动目标。实验结果表明,该方法可以很好地抑制噪声的干扰,并能检测出复杂背景下的弱小运动目标。

For the small moving target detection under heavy background, multi-frame detection of dim target based on DSP is presented in this paper. This target detection method takes two-stage filter to detect dim target. At first, this method preprocess the image sequence, and then set the threshold so as to remove noise, and finally identify the target and clutter with differences of time-frequency characteristics. The experimental results show that the system can effectively suppress noise and reliably detect dim target under heavy clutter background.