操震洲. 网络多分辨率传输中曲线集的相似性度量模型研究[J]. 武汉大学学报 ( 信息科学版), 2014, 39(10): 1257-1260.
引用本文: 操震洲. 网络多分辨率传输中曲线集的相似性度量模型研究[J]. 武汉大学学报 ( 信息科学版), 2014, 39(10): 1257-1260.
CAO Zhenzhou. A Similarit y Measurement Model for Multi-resolution Transmission of  Curve Datasets over  the  Internet[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1257-1260.
Citation: CAO Zhenzhou. A Similarit y Measurement Model for Multi-resolution Transmission of  Curve Datasets over  the  Internet[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1257-1260.

网络多分辨率传输中曲线集的相似性度量模型研究

A Similarit y Measurement Model for Multi-resolution Transmission of  Curve Datasets over  the  Internet

  • 摘要: 针对空间数据在网络多分辨率传输中的相似差异提出了一种适用于曲线集的相似性度量模型 模型根据拓扑关系和几何特征差异计算曲线相似度然后以曲线最小凸包面积为权计算曲线集的加权相似度和相似精度以加权相似度评估曲线集的整体相似程度以相似精度评估曲线集各曲线间的相似差异 最后通过实验验证了该模型的有效性

     

    Abstract: Concerning the  dissimilarit y between ori ginal  spatial  data  and pro gressivel y transmitted  spatial  datathis  paper  pro poses  a model for measuring the  similarit y of  curve  datasets.After  curve  similarit y is measured based on differences  of  the  to polo gical  and geometric  characteristicsthe weighted  similarit y and  the  simi larit y precision  for  curve datasets  are  computed.The model uses weighted  similarit y to  assess  the  overall  degree  of  similarit y for  curve datasets  and uses  similarit y precision  to  assess  the  similarit y differences  between curves.Finall ythe model was used  in  an experiment  and verified  for  effectiveness

     

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