摘要
提出了一种基于不确定性的数据融合系统性能评估方法。数据融合的目的是为了提高融合后的信息量,信息不确定度的降低就相当于信息量的增加,本文从广义信息论出发度量信息不确定度,通过比较融合前后系统信息的不确定度来度量融合系统的性能。给出多目标系统中计算信息不确定度归一化变化的方法,实现了融合系统性能的定量评估。
The evaluation for the data fusion system is presented based on uncertainty. The purpose of the data fusion is to increase information. Thus the decrease of the uncertainty is equated to the increase of information. This paper uses the generalized information theory to measure information uncertainty. This method evaluates the performance of the data fusion system by measuring the changes of the information uncertainty after the fusion. Finally a method for measuring the information uncertainty of multi-objects system is given and the data fusion system is quantitatively evaluated.
出处
《数据采集与处理》
CSCD
北大核心
2005年第2期150-155,共6页
Journal of Data Acquisition and Processing
基金
国家高技术研究发展计划("863"计划)(2002AA0783055)资助项目。
关键词
数据融合
性能评估
不确定性
D-S证据理论
data fusion
performance evaluation
uncertainty
D-S theory of evidence
