土地利用现状空间数据库拓扑关系分析及基于规则的高效检测

为了提高土地利用现状空间数据库空间数据检测效率,实现要素类拓扑关系的智能检测,在分析详查要素拓扑关系的基础上,提出基于拓扑规则的拓扑关系验证方法。并采用GIS开发平台ArcEngine,基于RSTT质检模型,研制了空间数据质检系统LR_Checker。经大量土地利用现状空间数据的测试表明,采用LR_Checker可显著提高数据检测效率,通过规则的逻辑组合,不仅实现要素类内拓扑关系检测,还支持不同要素类间拓扑关系检测。证明了基于拓扑规则的拓扑关系验证方法的正确性、有效性和合理性。

Topology relationship analysis of land use database and highly effective validity method based on rule

In order to enhance the efficiency of land use data quality checking and realize the intelligent topology relationship testing between feature classes,the paper has analyzed the topology relationship classes of the land use database and proposed a topology relationship validity method based on rule(TRVR).Based on TRVR method and the quality checking model-RSTT as well as GIS platform ArcEngine,the land use data quality checking system(LR_Checker) is presented in this paper.The testing with massive land use data indicates that with LR_Checker it is possible to reduce data checking work greatly.Through logical combination of rules,LR_Checker has not only realized topology testing in feature classes,but also supported topology testing between different feature classes.Above facts prove that TRVR method is accuracy,validity and rationality.