基于显著图的红外弱小目标动态规划检测前跟踪算法

针对低信噪比复杂背景红外图像弱小目标检测虚警率高的问题,提出一种基于显著图的红外弱小目标动态规划检测前跟踪算法.该算法采用改进的局部区域差分算子提取显著图,根据注意力转移机制设计搜索策略,利用目标移动速度实时更新搜索范围,对多帧连续的显著图进行滤波跟踪,实现对红外图像弱小目标检测.实验结果表明,文中算法在对弱小目标进行有效检测的同时降低虚警率,提高了图像的检测效率.

Dynamic Programming Track-Before-Detect Algorithm Based on Saliency Map for Infrared Dim and Small Target

Aiming at the problem of the high false alarm rate of detecting dim and small targets in the infrared image with low signal-to-noise ratio and complex background, a saliency map based dynamic programming track-before-detect algorithm is proposed. An improved difference of local region operator is used to extract the saliency map in this algorithm. A novel search strategy is designed according to the attention transfer mechanism. In addition, the search range is updated in real time by utilizing the speed of the target. The algo- rithm processes the multi-frame continuous saliency maps to realize infrared dim and small target detection. Experiment results indicate that the algorithm can reduce false alarm rate and improve detection performance in less time.