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

An Optimization Algorithm for Boundary Points and Boundary Lines Extraction

Funds: 

The National Natural Science Foundation of China 41571374

the National Key Research and Development Program of China 2018YFB0504501

the National Key Research and Development Program of China 2017YFB0503802

More Information
  • Author Bio:

    LI Chaokui, PhD, professor, specializes in 3D geographic information theory, method and application. E-mail: chkl_hn@163.com

  • Received Date: December 25, 2019
  • Published Date: March 04, 2021
  •   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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