基于自适应梯度倒数滤波红外弱小目标场景背景抑制  

Background suppression for infrared dim small target scene based on adaptive gradient reciprocal filtering

作　　者：李飚 徐智勇[1,3] 王琛 张建林 汪相如[2] 樊香所 Li Biao;Xu Zhiyong;Wang Chen;Zhang Jianlin;Wang Xiangru;Fan Xiangsuo(Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu,Sichuan 610209,China;School of Optoelectronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu,Sichuan 611731,China;University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Optical Engineering,Chinese Academy of Sciences,Chengdu,Sichuan 610209,China;Chengdu Office of Military Agency Bureau of Equipment Department,Aerospace System Ministry,Chengdu,Sichuan 610041,China;School of Electrical and Information Engineering,Guangxi University of Science and Technology,Liuzhou,Guangxi 545006,China)

机构地区：[1]中国科学院光电技术研究所,四川成都610209 [2]电子科技大学光电科学与工程学院,四川成都611731 [3]中国科学院大学,北京100049 [4]中国科学院光束控制重点实验室,四川成都610209 [5]航天系统部装备部军代局成都室,四川成都610041 [6]广西科技大学电气与信息工程学院,广西柳州545006

出　　处：《光电工程》2021年第8期44-55,共12页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(62001129);中国科学院西部之光基金资助项目(ya18k001);广西科技基地和人才工程基金资助项目(2019AC20147)。

摘　　要：由于红外弱小目标尺度小、能量弱,所以抑制背景以增强目标使后期检测跟踪性能得到保障是关键的目标检测技术环节。为了提高梯度倒数滤波算法对杂波纹理的抑制能力,减少差分图像中残留纹理对目标的干扰,本文提出了自适应梯度倒数滤波算法(AGRF)。AGRF算法通过分析背景区域、杂波边缘纹理、目标的分布特性和统计数字特征来确定邻域像素间相关性的自适应联合判定阈值和自适应相关度系数函数,然后联合相关度系数函数和梯度倒数系数来确定自适应梯度倒数滤波器的元素值。实验结果表明,在具有相同目标增强性能的前提下,AGRF算法相比传统梯度倒数滤波算法对杂波边缘纹理的敏感度明显降低。相比九种对比算法,AGRF算法能够在背景抑制和目标增强这两者之间取得更好的性能平衡。Due to the small scale and weak energy of the infrared dim small target,the background must be sup-pressed to enhance the target in order to ensure the performance of detection and tracking of the target in the later stage.In order to improve the ability of gradient reciprocal filter to suppress the clutter texture and reduce the inter-ference of the residual texture to the target in the difference image,an adaptive gradient reciprocal filtering algorithm(AGRF)is proposed in this paper.In the AGRF,the adaptive judgment threshold and the adaptive relevancy coeffi-cient function of inter-pixel correlation in the local region are determined by analyzing the distribution characteristics and statistical numeral characteristic of the background region,clutter texture,and target.Then the element value of the adaptive gradient reciprocal filter is determined by combining the relevancy coefficient function and the gradient reciprocal function.Experimental results indicate that the sensitivity of the AGRF algorithm to the clutter texture is significantly lower than that of the traditional gradient reciprocal filtering algorithm under the premise of the same target enhancement performance.Compared with the other nine algorithms,the AGRF algorithm has better sig-nal-to-noise ratio gain(SNRG)and background suppress factor(BSF).

关 键 词：红外弱小目标 背景抑制 梯度倒数滤波 边缘纹理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN219[自动化与计算机技术—计算机科学与技术]