摘要
多传感器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.在介绍多传感器数据融合目标识别基本原理及其算法理论依据基础上,从概念分类方面,对目前多传感器数据融合目标识别算法进行了全面综述,包括参数分类算法、基于认识模型的算法、物理模型算法及多类算法综合识别法等,说明了各算法特点及对其的进一步改进,列举了目前国内外一些已经发表的重要算法,为下一步多传感器融合目标识别研究提供了一定的理论依据.
Multi-sensor data fusion obtains definite recognition and development acts as an especial data processing means in the domain of target recognition.Basic theory of multi-sensor data fusion target recognition and its algorithm theory elements are introduced,and from the aspect of concept classification,an all-around survey of actual multi-sensor data fusion target recognition algorithms is given which includes parameter classification algorithms,algorithms based on cognition model,physics model algorithms and synthetical multi-type recognition algorithms and so on,peculiarities of these algorithms and farther amelioration about them are explained,some published important algorithms at the present time are enumerated,which provides definite theoretical bases for future multi-sensor fusion target recognition research.
出处
《红外与激光工程》
EI
CSCD
北大核心
2006年第z4期321-328,共8页
Infrared and Laser Engineering
关键词
多传感器
数据融合
目标识别
证据理论
推理算法
Multi-sensor
Data fusion
Target recognition
Evidence theory
Reasoning algorithm
