Data Fusion and Bayes Estimation Algorithm Research
This paper starts from the prospective of data processing and use of information,analysis the meaning and realistic background of processing integrated data by using Data Fusion technology.On the basis of a clear basic idea and principle theory of Data Fusion,studies and discusses its hierarchical levels from three aspects.A relatively comprehensive description of Data Fusion process is given in the paper.Incorporate with the description of the basic principles and ideas of Bayes estimation algorithm,identifies the limitation of Bayes estimation algorithm.The practical significance of Data Fusion technology in dealing with information uncertainty and incompleteness are summarized.
Data Fusion Bayes Estimation Algorithm Multi-Source Data Data Processing Likelihood Function
Yulian Gai Yaping Wang
Modem Educational Technology Center Xian International University Xian, Shaanxi, China, 710077
国际会议
太原
英文
323-326
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）