一种基于空间滤波的红外小目标检测算法及其应用

ALGORITHM OF IR SMALL TARGETS DETECTION BASED ON SPATIAL FILTER AND ITS APPLICATION

针对红外探测系统中单帧红外图像中的小目标检测问题,在分析红外场景模型的基础上,提出了一种基于自适应噪声平滑和空间滤波的背景杂波抑制算法.该方法对于起伏背景下红外小目标的检测有良好的性能,且具有目标信息损失小的优点.同时,利用ADSP-TS201S高性能数字信号处理器实现了该算法,并成功应用到某全向红外搜索跟踪系统中.实验结果表明,在低信噪比情况下,算法有很好的检测性能.

For small targets detection in single frame infrared image, a background clutter suppression algorithm based on an adaptive smooth filter and spatial filter was used to analyse the IR scene model. The method has good performance to detect the small targets in the undulant background and has the merit with no target information loss. At the same time, the algorithm is realized by the digital processor ADSP-TS201S with high performance and successfully applied in an all directional IRST system. The experiment shows that this method has high detection performance for the small target in single frame at low SNR.