反舰长波红外成像导引头诱饵弹识别算法  

Surface-type decoy recognition for long wave infrared imaging seeker based on anti-ship missile

作　　者：闫晓珂[1] 郑均杰[1] 

机构地区：[1]91404部队,河北秦皇岛066000

出　　处：《红外与激光工程》2012年第10期2583-2587,共5页Infrared and Laser Engineering

基　　金：第47批中国博士后科学基金(20100471809)

摘　　要：为了满足反舰长波红外导引头抗干扰的需要,分析了海天背景下舰船目标和诱饵弹的红外特性,得到了长波红外成像导引头中舰船目标和诱饵弹的图像特征。通过形状和纹理的特征提取,以及静、动态目标特征的自动识别与跟踪,提出了一种新的基于分形纹理结构的诱饵弹目标识别算法模块。仿真和实验结果表明,基于分形的统计特征变化范围小,能够较精确地评估目标的静态特征,结合动态目标特征识别基本满足反舰导弹对抗面源诱饵的性能要求。For the purpose of anti-jamming technique of the long wave infrared imaging seeker based on anti-ship missile, the characteristics of surface-type decoy and ship target in the image of long wave infrared imaging seeker were obtained by analyzing the feature of decoy and target under the sea-sky background in the infrared counter measure （IRCM）. Aiming at geometry shape and texture feature of decoy and ship in the image of long wave infrared imaging seeker, a novel surface-type decoy recognition strategy based on fractal texture features was presented, which was adopted from integration of dynamic and static feature recognition technology. Experimental and simulation results on the real images show that the approach performs well in evaluation of the static features and fractal statistic matching is accurate based on integration of dynamic and static feature recognition technology, which can meet the requirement on anti-ship missile counter measure to decoy in the long wave infrared imaging guided systems.

关 键 词：反舰导弹 长波红外 导引头 面源诱饵 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TN976[自动化与计算机技术—计算机科学与技术]