基于改进HFQC滤波的红外弱小目标检测  

Infrared Dim Target Detection Based on Improved HFQC Filter

作　　者：张聪[1] 高磊[1] 李少军[1] 

机构地区：[1]北京航天自动控制研究所,北京100854

出　　处：《四川兵工学报》2015年第5期137-140,共4页Journal of Sichuan Ordnance

摘　　要：针对远距离的深空背景探测,解决低信噪比红外图像中的弱小目标检测问题,提出了一种基于改进HFQC滤波的多帧表决检测算法;首先对单帧红外图像进行多帧能量累积和滤波以提高信噪比,并利用最大对比度方法分割候选目标,然后利用图像序列中目标的运动特性,对候选目标进行基于HFQC滤波的多帧投票表决,实现真实目标的检测;实验结果表明:该方法在低信噪比条件下,能够有效抑制背景噪声和降低虚警,具有较好的检测性能。For the problem of infrared dim target detection in deep space has low signal to noise ratio,a method based on improved HFQC filter and multi-frame voting was proposed. Firstly,the signal to noise ratio of single image was improved by using frame integral and filter and candidate targets were segmented by maximum contrast method. Secondly,we detected the true target from the candidates by multi-frame voting based on moving target feature. Experimental results show that this method can effectively suppress background noise and reduce the false alarm rate,so it has a better detection performance.

关 键 词：红外弱小目标检测 ROBINSON Guard滤波 HFQC滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]