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多尺度地理空间点群目标相似度的分析与计算
引用本文:王超超,史霄,黄娟,王华萍.多尺度地理空间点群目标相似度的分析与计算[J].商丘师范学院学报,2011,27(3):1-5.
作者姓名:王超超  史霄  黄娟  王华萍
作者单位:兰州交通大学数理与软件工程学院,甘肃兰州,730070
基金项目:国家自然科学基金资助项目
摘    要:基于地图信息论的观点,将点群目标包含的信息重新分为统计信息、专题信息、拓扑信息、距离信息和方向信息.根据这5类信息描述参数的特点,给出了各个信息量相似度的计算公式.最后综合这5类信息给出了多尺度地理空间点群目标相似度的计算公式,并通过算例验证了公式的可行性和有效性,为地图综合质量的评价提供了一种新方法.

关 键 词:多尺度  点群  空间关系  相似关系

Study on computation and analysis of similarity relationships of multi-scale point objects
WANG Chaochao,SHI Xiao,HUANG Juan,WANG Huaping.Study on computation and analysis of similarity relationships of multi-scale point objects[J].Journal of Shangqiu Teachers College,2011,27(3):1-5.
Authors:WANG Chaochao  SHI Xiao  HUANG Juan  WANG Huaping
Institution:(School of Mathematics,Physics and Software Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract:In this paper,based on map information theory,point cluster's information was divided into five categories which are statistical,thematic,topological,distance and orientation information respectively.According to features of describing parameters of these five types of information,computation formulas of similarity degree for various information were got.Then,based on the various factors,computation formulas of similarity degree for multi-scale point objects.The calculation results of an example validated that these computation formulas are feasible and effective.And a new method was provided for comprehensive evaluation of the quality of the map.
Keywords:multi-scale  point clusters  spatial relationships  similarity relationships
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