• DocumentCode
    2470501
  • Title

    Study on automatic vectorization of thematic map based on Neighborhood Filling

  • Author

    Chen, Jun ; Miao, Fang ; Lu, Hanyu ; Duan, Yingjie

  • Author_Institution
    Key Lab. of Eearth Exploration & Inf. Tech. of Minist. of Educ., Chengdu Univ. of Technol., Chengdu, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    6321
  • Lastpage
    6324
  • Abstract
    It is difficult to distill vector data from thematic map automatically and accurately because of disturb information. Therefore, an algorithm named Neighborhood Filling is discussed here to separate disturb information from thematic map. On the basis of distinction between disturb information and the interference background information. Set some background information on the priority. Use principle of space nearest neighbor information and priority to fill interference neighborhood on disturb information. Experiment shows that the algorithm can effectively remove the interference information and to restore the image. So that making the thematic map automatic vectorization is possible.
  • Keywords
    cartography; geophysical techniques; geophysics computing; interference; vectors; automatic vectorization; disturb information; interference background information; interference neighborhood; nearest neighbor information; neighborhood filling algorithm; thematic map; vector data; Data mining; Image color analysis; Interference; Lakes; Pixel; Rail transportation; Roads; Automatic Vectorization; Neighborhood filling; Thematic Map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965802
  • Filename
    5965802