摘要
针对复杂杂波背景下红外弱小目标检测困难的现状,提出一种基于新特征算子的复杂背景红外弱目标检测算法,显著提升了机载红外目标搜索及跟踪系统中弱小目标的检测概率。首先,通过背景的优化最小二乘图像匹配算法及差分滤波,滤掉大部分杂波背景。然后,在结果图像上进行新特征检测判断是否存在目标。最后,在序列图像上采用动态规划方式提取目标信息。经过大量实验,结果表明,提出的算法相比近些年提出的优化算法,信杂比提高了1.77,背景抑制因子提高了3.84,适用于机载红外目标搜索及跟踪系统。
In view of the difficulty of infrared weak target detection in complex clutter background,an infrared weak target detection algorithm in complex background based on new feature operator is proposed,which significantly improves the detection probability of weak small targets in airborne infrared target search and tracking system.Firstly,through the background optimization,least squares image matching algorithm and differential filtering,most of the clutter background is filtered out.Then,new feature detection is performed on the result image to determine whether there is a target.Finally,the target information is extracted by dynamic programming on the sequence images.After a large number of experiments,the results show that compared with the optimization algorithm proposed in recent years,the signal-to-clutter ratio is increased by 1.77 and the background suppression factor is increased by 3.84,which is suitable for airborne infrared target search and tracking system.
作者
徐亚杰
王海星
Xu Yajie;Wang Haixing(School of Information Engineering,Zhengzhou Shengda University,Zhengzhou 451191,China;School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China)
出处
《国外电子测量技术》
北大核心
2021年第12期7-11,共5页
Foreign Electronic Measurement Technology
基金
河南省高新技术领域科技攻关项目(172102210474)
河南省高等教育教学改革研究与实践项目(2019SJGLX520)资助
关键词
新特征算子
机载红外目标搜索及跟踪系统
复杂背景
弱小目标检测
new characteristic operator
airborne infrared target search and tracking system
complex background
dim and small target detection
作者简介
徐亚杰,硕士,讲师,主要研究方向为智能算法及应用、数据分析与处理。E-mail:xuyajie2022@163.com;王海星,博士,副教授,主要研究方向为控制理论与应用、智能算法及应用。E-mail:wanghaixing@hpu.edu.cn
