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聚类分析在Galileo载波相位组合观测值选取中的应用
引用本文:邢喆,樊妙,金继业.聚类分析在Galileo载波相位组合观测值选取中的应用[J].测绘科学,2011,36(5):205-206.
作者姓名:邢喆  樊妙  金继业
作者单位:国家海洋信息中心,天津,300171
摘    要:鉴于传统Galileo载波相位组合观测值筛选方法工作量大,本文引入了模糊聚类理论,将其与载波相位组合理论相结合,对聚类指标进行了选取,然后运用最大树聚类法对Galileo载波相位组合观测值进行分类,并讨论了分类结果.最后通过与传统聚类方法的比较,证明了本方法的合理性.

关 键 词:模糊聚类  最大树法  聚类指标  Galileo载波相位组合

Application of cluster analysis in carrier phase combined observation selection of Galileo
XING Zhe,FAN Miao,Jin Ji-ye.Application of cluster analysis in carrier phase combined observation selection of Galileo[J].Science of Surveying and Mapping,2011,36(5):205-206.
Authors:XING Zhe  FAN Miao  Jin Ji-ye
Institution:XING Zhe,FAN Miao,Jin Ji-ye(National Marine Data and Information Service,Tianjin 300171,China)
Abstract:Due to the large amount work of carrier phase combined observations selection of Galileo with traditional method,the theory of Fuzzy Cluster was drawn into the paper.This paper analyzed the cluster index selected through the theory of carrier phase combination,used the maximal tree method to classify carrier phase observations of Galileo and discussed the results.The results showed that the method was feasible compared with traditional method.
Keywords:fuzzy cluster  maximal tree method  cluster index  carrier phase combination of Galileo  
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