FME-based method for attribute consistency checking of vector data of mines obtained from remote sensing monitoring
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摘要: 针对全国矿山遥感监测矢量数据覆盖范围广、数据复杂程度大、面积统计精度高的特点,及现有软件所存在的计算效率较低、计算精度不高的问题,提出了基于空间数据转换处理系统 (feature manipulate engine,FME)的解决方法。首先,根据图斑、矿权的位置进行分带; 其次,对各带的图斑、矿权进行相对位置分析,得到相离、包含、包含于、压盖4种相对位置类型图斑; 最后,根据各相对位置关系类型图斑与矿权的关系分别计算其开发占地面积(KFZDMJ)、矿权内面积(KQNMJ)和矿权外面积(KQWMJ)。通过对一个中等规模省份的矿山矢量数据计算结果进行验证,其计算效率与精度都有了较大的提高,且操作简单可行。实验结果表明该图属一致性检查功能可以为矿山遥感监测数据的编制工作提供有效的支持,具有较高的适用性。Abstract: The vector data of mines in China obtained from remote sensing-based monitoring are characterized by wide coverage, high complexity, and high accuracy of area statistics. However, existing software suffers low calculation efficiency and low accuracy. This study proposed a solution based on the feature manipulation engine (FME) platform. This solution consists of the following steps. Firstly, the vector data of mines were divided into zones according to the locations of polygons and mineral rights. Secondly, the positions of the polygons relative to mineral rights were analyzed, obtaining four types of polygons, namely being separated from, containing, being contained in, and covering mineral rights. Finally, relevant area of mines was calculated, including the development area (KFZDMJ), the area covered by mining right (KQNMJ), and the area uncovered by mining right (KQWMJ) according to the types of relative position relationships. The solution was verified using the vector data of mines in a medium-sized province. According to the verification results, the solution proposed in this study can greatly improve calculation efficiency and accuracy and its operation is feasible and straightforward. The results show that the consistency checking of the map attributes can provide effective support for the compilation of remote sensing-based monitoring data of mines and can be widely applied.
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