机载复杂场景下的低虚警红外目标检测  

Low false alarm infrared target detection in airborne complex scenes

作　　者：杨德振 喻松林[1] 冯进军[2] 李江勇[1] 王礼贺 YANG Dezhen;YU Songlin;FENG Jinjun;LI Jiangyong;WANG Lihe(North China Research Institute of Electro-optics,Beijing 100015,China;Beijing Vacuum Electronics Research Institute,Beijing 100015,China)

机构地区：[1]华北光电技术研究所,北京100015 [2]北京真空电子技术研究所,北京100015

出　　处：《光学精密工程》2022年第1期96-107,共12页Optics and Precision Engineering

基　　金：国家863高技术研究发展计划资助项目(No.2013AA7031066B);军委科技委基础加强基金资助项目(No.2019JCJQZD33600)。

摘　　要：机载红外光电探测系统进行下视复杂场景目标探测时,地面虚警干扰源同弱小目标在空间分布上一致,传统算法会导致大量虚警。因此,提出一种基于运动目标特征的多维度特征关联检测算法。该算法首先对复杂场景进行特征点检测,引入基于相对速高比的跳帧机制,对经过图像配准的帧间图像进行差分处理检出候选目标。同时,结合基于核相关滤波的目标相似度方法进行多维多帧关联,进一步抑制虚警并确认目标。实验结果表明,在载机速高比大于30 mrad/s、系统帧时小于10 ms的机载环境下,该算法的平均检测率达到99.13%,虚警率降至10-5。该方法在多种机载复杂场景下得到验证,适合流水并行运算操作,满足工程实践需求。When an infrared photoelectric detection system detects a target in a complex airborne scene,the spatial distribution of the ground false alarm interference source is consistent with the spatial distribution of the small dim target.Therefore,a multi-dimensional feature association detection algorithm based on moving target features was proposed herein.First,feature points were detected in complex scenes,and a frame skipping mechanism based on the relative velocity-height ratio was introduced.Candidate targets were detected by inter-frame image difference after image registration.Simultaneously,multi-dimension and multi-frame correlations based on the kernel correlation filter were used to suppress false alarms.In an airborne environment where the vehicle speed-to-height ratio is greater than 30 mrad/s and frame time is less than 10 ms,the average detection rate of this algorithm is 99.13%,and the false alarm rate is 10^(−5).This method was verified in various complex scenarios.In addition,it is suitable for pipeline parallel operation and meets the engineering needs.

关 键 词：目标检测 机载环境 运动目标特征 核相关滤波 虚警抑制 并行流水操作 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]