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作 者:任维贺 李康 张月[1] 郑国宪[1] 苏云 张学敏 柳祎 Ren Weihe;Li Kang;Zhang Yue;Zheng Guoxian;Su Yun;Zhang Xuemin;Liu Yi(Beijing Institute of Space Mechanics and Electricity,Beijing 100094,China)
出 处:《红外与激光工程》2023年第10期167-185,共19页Infrared and Laser Engineering
摘 要:世界各国目标信息获取与应用需求日益迫切,各国纷纷着力开展新型的目标信息获取技术研究,针对各类目标,尤其是对空中目标进行高效信息获取。在现今的信息化社会中,新型信息获取技术意义重大,可以促进社会发展、提升人民生活水平,同时在完善国防体系,保障国民安全方面也作用显著。因此,对新型目标信息获取技术的研究十分必要。基于大气扰动的目标探测技术作为一种新型的信息获取技术体制,利用目标飞行时形成的大气扰动进行目标探测具有不受目标自身性能影响的显著优势,应用潜力巨大。此篇综述基于大气扰动的目标探测技术,对目标大气扰动检测中图像处理方法进行研究,主要分为互相关方法、光流方法、帧间差分法、背景减除法四个方面,阐述其国内外研究进展,分析其技术优劣势及发展技术途径,最后对四种方法以及目标大气扰动图像处理方法未来的发展方向进行展望与总结。Significance The demand of target information acquisition and application is becoming more and more urgent all over the world,and all countries are focusing on the research of new target information acquisition technology,especially for all kinds of targets,especially for air targets.In today's information society,the new information acquisition technology is of great significance,which can promote social development and improve people's living standards,and also play a significant role in improving the national defense system and ensuring national security.Therefore,it is necessary to study the new target information acquisition technology.Target detection technology based on atmospheric disturbance is a new information acquisition technology system.The use of atmospheric disturbance in target detection is not affected by the performance of the target itself,and has great application potential.Progress In this paper,four main image processing algorithms of target atmospheric disturbance detection are introduced,which are cross-correlation method,optical flow method,frame difference method and background detection method.The technical principle is described and the technical advantages and disadvantages are analyzed(Tab.4).The cross-correlation algorithm has good real-time performance,but will reduce the resolution;The optical flow method has high precision but poor real-time performance.Inter-frame difference method has good real-time performance,but poor accuracy and applicability.Background detection method has good accuracy and poor applicability.According to the development status of the four algorithms at home and abroad,through comprehensive research,the optimization methods of various algorithms are analyzed and summarized,which can be divided into three categories(Tab.2)of optimization algorithm itself,integration with other image processing algorithms,and neural network based.Through the analysis of relevant literature,the advantages and disadvantages of the three algorithm optimization methods are reve
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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