基于Spearman秩相关系数的红外弱小目标检测

针对红外弱小目标检测,目标运动跨像元,引起目标的丢失的问题,提出了一种基于Spearman秩相关系数的红外弱小目标检测新方法。该方法首先采用时空域中值滤波的方法估计背景;然后通过计算邻域像元点与目标处于像元中心位置时的Spearman相关系数,获得候选目标点;最后采用二次滤波和运动方向匹配得到目标运动轨迹。该方法充分利用邻域信息,即使在目标处于像元边缘处,也能有效地检测到目标。仿真分析表明了该算法的有效性。

Infrared Small Target Detection based on Spearman Rank Correlation Coefficient

To detect dim and small target in infrared image with target movement across pixel which leads to target missing problem. A novel algorithm based on Spearman Rank Correlation Coefficient is presented. Firstly, the method uses spatial-temporal medium filter to estimate background. Then the candidates will be choose by calculate neighborhood pixel Spearman Rank Correlation Coefficient between this moment and the time that target locates center position of pixel. At last we use a secondary filtering and direction matching method to output trajectory. The neighborhood information will be efficient utilized and target can easy be detected although it situates the pixel edge. Experiment results show the validity of the algorithm.