基于OptCor算法的多比例尺线要素综合方法  

A linear feature generalization method in multi-scale maps based on OptCor algorithm

作　　者：赵彬彬[1,2] 戴涛 王安 ZHAO Bin-bin;DAI Tao;WANG An(School of Traffic and Transportation Engineering,Changsha University of Science&Technology,Changsha 410114,China;Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province,Changsha 410114,China)

机构地区：[1]长沙理工大学交通运输工程学院,湖南长沙410114 [2]公路地质灾变预警空间信息技术湖南省工程实验室,湖南长沙410114

出　　处：《长沙理工大学学报（自然科学版）》2020年第2期92-98,共7页Journal of Changsha University of Science and Technology:Natural Science

基　　金：国家自然科学基金资助项目(41301404);湖南省自然科学基金资助项目(14JJ3083);公路地质灾变预警空间信息技术湖南省工程实验室开放基金资助项目(kfj160603)。

摘　　要：针对多比例尺地图矢量数据线要素综合方法中存在的同名点匹配不准确,造成制图综合生成的中间比例尺线要素数据质量不佳的问题,提出了一种基于OptCor算法的同名点匹配法。该方法通过建立不同比例尺线要素数据间的极优对应关系来识别同名点,避免了缓冲区法进行同名点匹配时,可能出现同名点多对一、一对多、多对多时难以进行匹配,亦或者一对一但不是最佳匹配的情形,并将该方法应用到多比例尺线要素综合"内插"生成中间比例尺线要素中。对三类线要素数据进行试验,结果表明:基于OptCor算法的多比例尺线要素综合方法较缓冲区法,不仅同名点匹配更准确,效率更高,且综合结果更接近真实数据。To the problem of corresponding points matching inaccurately using linear feature generalization method with multi-scale map data,which causing poor spatial data quality of intermediate scale linear feature generated by interpolating,a corresponding point matching method was proposed based on the Optimum Correspondence(OptCor)algorithm.In the method,the corresponding points were identified by establishing the most excellent corresponding relationship among the linear features in different scale map data,which avoiding the situation of being difficult to match with many-to-one,one-to-many,many-to-many,or one-to-one,but not being the best match using buffer method.And intermediate scale linear features were generated through multi-scale linear feature generalization interpolation u sing the method.Experiments were conducted with three types of line element data.The experimental results show that the multi-scale linear feature generalization method based on OptCor algorithm is more accurate and efficient in matching corresponding points than buffer method,and generalized results of the method are closer to real data.

关 键 词：线要素 多比例尺 极优对应 制图综合 D-P算法 相似性度量 

分 类 号：P282[天文地球—地图制图学与地理信息工程]