拓扑保形的矢量地理数据几何脱密方法

发布时间：2018-06-04 18:56

本文选题：矢量地理数据 + 几何脱密　；参考：《中国矿业大学学报》2017年03期

【摘要】：提出了基于紧支撑径向基函数(CSRBF)的具有拓扑与几何保持性的矢量地理数据几何脱密方法.根据矢量地理数据的结构特征,分别对点、线、面地理要素进行分类,针对不同类别的地理要素构建相应的拓扑保形规则;利用CSRBF生成脱密函数模型,根据矢量地理数据几何脱密要求,分别对点、线、面结构的矢量地理要素进行脱密处理;通过脱密函数模型和要素脱密拓扑保形规则,对矢量地理数据进行迭代脱密,直至满足脱密要求.实验表明:提出的方法得到的脱密结果能够在满足地理信息安全性的条件下,保留数据的拓扑特征及一定的几何精度,从而保证了矢量地理数据的共享可用性.
[Abstract]:This paper presents a geometric densification method for vector geographic data with topological and geometric preservation based on compact supported radial basis function (CSRBF). According to the structural characteristics of vector geographic data, the geographical elements of points, lines and planes are classified, and the corresponding topology preserving rules are constructed for different geographical elements. The model of demask function is generated by using CSRBF. According to the requirements of vector geographic data, the vector geographic elements of point, line and plane structure are respectively densified, and the vector geographic data is densified iteratively through the demineralization function model and the key element demagnetization topology preserving rule. Until the demerit requirement is met. The experimental results show that the proposed method can preserve the topological characteristics and geometric accuracy of the data under the condition of satisfying the security of geographic information, thus ensuring the availability of vector geographic data sharing.
【作者单位】：南京师范大学虚拟地理环境教育部重点实验室江苏省地理信息资源开发与利用协同创新中心;云南师范大学旅游与地理科学学院;
【基金】：国家自然科学基金项目(41371374,41271383) 江苏高校优势学科建设工程项目(164320H116)
【分类号】：P208

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