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

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.