一种对空红外弱小目标检测跟踪方法研究

Detection and Tracking Method for Infrared Dim Small Targets in Air

为了在对空中小目标打击过程中实现对目标的准确检测与跟踪,针对空中红外弱小目标信噪比低、像素点少等特点,本文基于红外视频图像,采用高斯滤波以及Top-Hat算子对图像进行预处理;利用边缘检测算法对图像中的目标进行检测与定位;根据检测得到的目标初始位置,通过核化相关滤波跟踪算法对目标持续跟踪;最后对跟踪效果做了定量评估。实验结果显示,跟踪最大视场角度误差不超过0.0062°,运行速度平均每帧可达25.3帧/s,该方法能够有效地对空中红外弱小目标进行自动检测跟踪。

To detect and track targets accurately when attacking small targets,while attempting to achieve a low signal-to-noise ratio and few pixels of small and dim targets in the air,images are preprocessed based on infrared video images using Gauss filtering and the top-hat operator in this study.The edge detection algorithm is used to detect and locate the target in the image.The initial position of the target is continuously tracked by the kernel correlation filter tracking algorithm.Finally,the tracking effect is quantitatively evaluated.Experimental results show that the tracking error of the maximum field of view angle does not exceed 0.0062°,and that the average running speed can reach 25.3 fps/s.This method can effectively detect and track small and dim infrared targets in the air.