李朝奎, 刘俊杰, 董沈峰, 陈建辉. 一种界址点与界址线提取的优化算法[J]. 武汉大学学报 ( 信息科学版), 2021, 46(3): 410-416. DOI: 10.13203/j.whugis20190273
引用本文: 李朝奎, 刘俊杰, 董沈峰, 陈建辉. 一种界址点与界址线提取的优化算法[J]. 武汉大学学报 ( 信息科学版), 2021, 46(3): 410-416. DOI: 10.13203/j.whugis20190273
LI Chaokui, LIU Junjie, DONG Shenfeng, CHEN Jianhui. An Optimization Algorithm for Boundary Points and Boundary Lines Extraction[J]. Geomatics and Information Science of Wuhan University, 2021, 46(3): 410-416. DOI: 10.13203/j.whugis20190273
Citation: LI Chaokui, LIU Junjie, DONG Shenfeng, CHEN Jianhui. An Optimization Algorithm for Boundary Points and Boundary Lines Extraction[J]. Geomatics and Information Science of Wuhan University, 2021, 46(3): 410-416. DOI: 10.13203/j.whugis20190273

一种界址点与界址线提取的优化算法

An Optimization Algorithm for Boundary Points and Boundary Lines Extraction

  • 摘要: 界址点与界址线的提取在土地确权工作中是一项非常重要的工作。传统的界址点与界址线提取方法需要经过人工判断,根据判断后的结果将界址点与界址线相对应的属性信息手动输入到属性表中。而过多的人工干预使工作效率降低,同时也容易引发各类错误。针对上述问题提出了一种界址点与界址线提取的优化算法。该算法的思路为:(1)利用ArcGIS中的建模工具建立一套针对全部宗地的数据预处理模型,通过该模型生成相应的界址点与界址线的模板文件;(2)利用地理空间数据抽象库(geospatial data abstraction library,GDAL)读取宗地与模板文件的若干属性字段信息;(3)生成并自动读取宗地界址点与界址线文件。实验结果表明,该方法能够有效避免人工干预,提高了界址点与界址线的提取效率。在实际生产尤其是在大批量界址点和界址线的提取工作中,该方法具有相当的优势,为中国同类土地监测与管理工作提供了原创性技术支持。

     

    Abstract:
      Objectives  The extraction of boundary points and boundary lines is a very important work in land ownership confirmation. The traditional boundary points and boundary lines extraction method first needs to be judged manually, and then the attribute information corresponding to the boundary points and boundary lines is manually input into the attribute table according to the result of judgment. Excessive manual intervention not only makes the work inefficient, but also easy to cause all kinds of errors.
      Methods  In order to solve the above problems, an optimization algorithm for boundary points and boundary lines extraction is proposed. The idea of the algorithm is as follows: (1) Using the modeling tools in ArcGIS to establish a set of data preprocessing model for all parcels, and generate the template files of boundary points and boundary lines through the model; (2) Read some attribute field information of parcel and template file by using GDAL (geographic data abstraction library); (3) Generate and automatically read parcel boundary points and boundary lines file.
      Results  The experimental results show that this method can effectively avoid human intervention and greatly improve the extraction efficiency of boundary points and boundary lines.
      Conclusions  In the actual production, especially in the extraction of large quantities of boundary points and lines, this method has considerable advantages and provides original technical support for similar land monitoring and management in China.

     

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