• DocumentCode
    3114702
  • Title

    Object-oriented method based research on classification of relief form of China

  • Author

    Liu Aili ; Wang Yuqin

  • Author_Institution
    Sch. of Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2011
  • fDate
    26-28 March 2011
  • Firstpage
    679
  • Lastpage
    684
  • Abstract
    DEM availability and GIS-assisted processing of DEM have brought accelerated development of geomorphometry to a great extent. Based on analysis of the GTOPO30 DEM and its derivations (six terrain factors), relief form of China is classified. This method takes each terrain factor as a single-band image and combines the six single-band images into a multi-band image. Then object-oriented classification way of remote sensing image processing is applied for landform classification based on the multi-band image. Taken the Geomorphologic Map of China and Its Adjacent Areas (1:4,000,000) as reference, the classified result matches it well and displays more integrated. This experiment shows that integrative application of digital terrain analysis and remote sensing classification technology has broad application prospect in landform classification. It is also significant to consummating the theory and methodology of digital terrain analysis.
  • Keywords
    geographic information systems; geophysical image processing; image classification; object-oriented methods; remote sensing; terrain mapping; GIS-assisted processing; GTOPO30 DEM; Geomorphologic Map of China; digital terrain analysis; geomorphometry development; landform classification; object-oriented classification; object-oriented method; relief form classification; remote sensing classification technology; remote sensing image processing; Accuracy; Area measurement; Image resolution; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9440-8
  • Type

    conf

  • DOI
    10.1109/ICIST.2011.5765338
  • Filename
    5765338