基于层次规则的OSM建筑物面目标冗余清理  

Redundancy Cleaning of OSM Residential Objects Based on Hierarchical Rules

作　　者：唐忠立 张宏奎 汤鑫 王倩 TANG Zhongli;ZHANG Hongkui;TANG Xin;WANG Qian(School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha Hunan 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

出　　处：《北京测绘》2021年第8期1018-1025,共8页Beijing Surveying and Mapping

基　　金：国家自然科学基金(41301404);湖南省自然科学基金(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(kfj160603)。

摘　　要：开放街道地图(OpenStreetMap,OSM)数据由大众自发标报,因而存在大量虚假、低质量、冗余数据,其冗余数据清理研究成果乏善可陈。为此,针对OSM建筑物面目标冗余问题,构建了一套基于层次规则的OSM建筑物面目标冗余数据清理模型。首先,从OSM数据中识别冗余建筑物面目标,然后,按照拓扑关系类型将冗余建筑物面目标进行冗余分类,其次,根据建筑物面目标的冗余类型、几何特征等构建层次规则,最后,对实验区冗余面目标进行实验,并利用精确率、召回率及调和平均值(F1)等指标评价清理效果,结果表明,该模型具有良好的合理性和有效性。OSM data are automatically marked by the public,so there are a large number of false,low quality,redundant data and these redundant data cleansing research results are not much perfect.Therefore,aiming at OSM building area objects redundancy problem,a set of OSM building area objects redundancy data cleansing model based on hierarchical rules was constructed.Firstly,the redundant building area objects were identified from OSM data,then they were classified according to the topological relation type.Secondly,hierarchy rules were constructed according to redundant types and geometric features of building features.Finally,the experiment was carried out on the redundant area objects in the experimental area,and the cleaning effect was evaluated by using such indexes as precision rate,recall rate and harmonic mean value(F1)and the results indicated that the model had outstanding rationality and effectiveness.

关 键 词：开放街道地图 面目标 冗余识别 层次规则 数据清理 

分 类 号：P208[天文地球—地图制图学与地理信息工程]