多源信息融合发展及展望  

Development and prospects of multisource information

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作  者:何友 刘瑜[1,2] 李耀文 丁自然 董凯 崔亚奇 张财生 王学谦 李徵 郭晨 HE You;LIU Yu;LI Yaowen;DING Ziran;DONG Kai;CUI Yaqi;ZHANG Caisheng;WANG Xueqian;LI Zhi;GUO Chen(Information Fusion Institute,Naval Aviation University,Yantai 264001,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,China)

机构地区:[1]海军航空大学信息融合研究所,烟台264001 [2]清华大学电子工程系,北京100084 [3]清华大学深圳国际研究生院,深圳518055

出  处:《航空学报》2025年第6期1-26,共26页Acta Aeronautica et Astronautica Sinica

基  金:国家自然科学基金(62388102,62425117,62293544,62401336)。

摘  要:多源信息融合经历了数十年发展,从经典的信号处理问题拓展到多学科交叉前沿领域,覆盖了航空航天、智能交通、工业工程、国土安全等广泛军民应用。从多源信息融合的原理和意义出发,综述了信息融合技术的主要发展阶段,梳理归纳了融合检测、融合关联、融合识别、融合估计4个基本科学问题的研究进展,并概括了多源图像融合技术和面向信息融合的机器学习方法。在此基础上,介绍了信息融合在军民领域的典型应用。最后,展望了信息融合技术与应用的发展方向。Multisource information fusion has undergone decades of development,expanding from classic signal processing issues to a multidisciplinary frontier field and covering a wide range of applications such as aerospace,intelligent transportation,industrial engineering,and security.This paper starts from the definition and principles of multisource information fusion,reviews the main development stages of information fusion technology,and summarizes the research progress of four basic scientific issues:fusion detection,fusion recognition,fusion estimation,and fusion association.The technology of multisource image fusion and machine learning methods oriented towards information fusion are also outlined.Based on this,the typical applications of information fusion in several fields are introduced.Finally,the development direction of information fusion technology and its applications are discussed.

关 键 词:信息融合 多传感器融合 统计信号处理 机器学习 分布式系统 

分 类 号:V19[航空宇航科学与技术—人机与环境工程]

 

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