• DocumentCode
    2877402
  • Title

    A Comparison of Land Cover Classification Methods Based on Remote Sensing and GIS Technologies

  • Author

    Zhang, Jianjun ; Fu, Meichen ; Qi, Wenzhang ; Yuan, Chun ; Tian, Di

  • Author_Institution
    Sch. of Land Sci. & Technol., China Univ. of Geosci. (Beijing), Beijing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The applications of remote sensing and GIS technologies in land cover classification contribute to the objective and accurate reflections of land use information. This paper reviews the development of land cover classification methods in China, including man-dominant land cover classification method and computer-dominant land cover classification method. And then taking a case study, this paper compares man-computer interactive interpretation method and automatic computer classification method based on remote sensing and GIS technologies from four aspects. Based on that, this paper proposes the improvement and application assumption of land cover classification methods according to the possible future applications of remote sensing and GIS technologies. And the integration of remote sensing and GIS technologies in land cover classification will show the characteristics of gradual intellectualization.
  • Keywords
    geographic information systems; image classification; interactive systems; land use planning; terrain mapping; GIS; automatic computer classification; computer-dominant land cover classification; intellectualization; land use information; man-computer interactive interpretation; man-dominant land cover classification; remote sensing; Acceleration; Application software; Computerized monitoring; Geographic Information Systems; Geology; Geoscience and remote sensing; Image analysis; Materials science and technology; Reflection; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5367036
  • Filename
    5367036