多源数据融合算法综述  

Review of multi-source data fusion algorithm

作　　者：祁友杰[1] 王琦[1] 

机构地区：[1]中国航天科工集团8511研究所,江苏南京210007

出　　处：《航天电子对抗》2017年第6期37-41,共5页Aerospace Electronic Warfare

摘　　要：多源数据融合作为一种特殊的数据处理手段,在目标识别领域得到了较大的重视和发展。在介绍多源数据融合的基本原理和功能模型的基础上,对目前的多源数据融合算法进行了全面介绍,从算法概念出发对其进行了分类,分别为物理模型类、基于参数类和基于认识模型类,并阐述了每类算法的特点以及相关算法的改进,列举了目前国内外一些已经发表的重要算法,为下一步多源融合的目标识别研究提供了一定的理论依据。As a special data processing method, multi-source data fusion is received great attention and development in the field of target recognition. The algorithm of multi-source data fusion is introduced integrally on the basic of its basic principle and function model, which is classified as physical model, based on parameter and based on cognitive model. The feature and improvement of each kind of algorithm are expounded. Some important algorithms which have been already published at home and abroad are listed provide theoretical basis for the next target recognition study of multi-source fusion.

关 键 词：多源 多传感器 信息融合 数据处理 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]