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作 者:霍雅洁 谢国亚 何静 史宜巧 HUO Yajie;XIE Guoya;HE Jing;SHI Yiqiao(Department of Mathematics and Physics,Chongqing College of Mobile Communication,Chongqing 400700,China;School of Intelligent Manufacturing,Jiangsu Vocational College of Electronics and Information,Huaian Jiangsu 223003,China)
机构地区:[1]重庆移通学院数理教学部,重庆400700 [2]江苏电子信息职业学院智能制造学院,江苏淮安223003
出 处:《电子器件》2024年第4期1101-1106,共6页Chinese Journal of Electron Devices
基 金:国家自然科学基金项目(71864026);2019年江苏省333工程科研项目(BRA2019304)。
摘 要:红外导引头在外部点源干扰下,存在大量噪声信息,在降噪的过程中出现模糊图像边缘信息,导致高频细节信息的丢失,从而影响到红外目标图像的跟踪效果。提出了点源干扰下红外导引头成像跟踪方法。利用似然比挖掘潜在红外目标,目标灰度服从高斯分布原则,通过像素灰度检测图像获得界阈;准确划分目标与非目标特征;并采取自适应双边滤波处理,使特征构建后的红外图像块数据更精准,应用红外导引头成像,在目标框内选取重要特征点,整合监测与跟踪获得的目标框,完成精准红外跟踪。通过实验,证明所提方法可以很好地跟踪目标,跟踪误差较小,鲁棒性好。Because there is a large amount of noise information in the process of tracking infrared targets,the traditional methods will blur the edge information in the process of noise reduction,resulting in the loss of high-frequency details,which will affect the tracking effect of infrared targets.An adaptive infrared tracking method of laser seeker jamming point source is proposed.The potential infrared target is mined by using the target detection of likelihood ratio.The target gray obeys the Gaussian distribution principle,and the threshold is obtained through the pixel gray detection image.The target and non target features are accurately divided.Adaptive bilateral filtering is adopted to make the image block data more accurate after feature construction.The laser seeker is used to select important feature points in the target frame,integrate the target frame obtained from monitoring and tracking,and complete accurate infrared tracking.Experiments show that the proposed method can track the target well,with small tracking error and high efficiency.
关 键 词:红外导引头 干扰点源 自适应红外跟踪 目标特征建模 阈值分割 鲁棒性
分 类 号:TN977[电子电信—信号与信息处理]
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