• DocumentCode
    3001635
  • Title

    The Extraction of Key Projects Information Based on Object-Oriented Method: A Case Study of the Beijing South Railway Station

  • Author

    Liu, Hongqi ; Hu, Zhuowei ; Wang, Zhiheng ; Dang, Yanan ; Wang, Xiaoshuang

  • Author_Institution
    Coll. of Resource Environ. & Tourism, Capital Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Facing the monitoring demand to the progress of key project using remote sensing technology, the Beijing-Tianjin inter-city railway project (Beijing South Railway Station) was taken for example and the high resolution remote sensing image of 2005 (before project) and 2007 (in project) were used as data source. At first, we built land-use classification index system. Then land-use information of South station and its surrounding was extracted using object-oriented method, which provided data basis for the monitoring and evaluation of key project. Results show that: the object oriented method has a much higher precision and efficiency than the traditional information extraction methods with classification accuracy 85.98% and 92.92%, Kappa coefficient 0.824 and 0.9085 respectively.
  • Keywords
    geophysical image processing; image resolution; land use planning; object-oriented methods; project engineering; railway engineering; remote sensing; Beijing south railway station; Beijing-Tianjin inter-city railway project; Kappa coefficient; classification accuracy; high resolution remote sensing image; information extraction methods; key projects information; land-use classification index system; land-use information; monitoring demand; object-oriented method; remote sensing technology; Buildings; Data mining; Image segmentation; Rail transportation; Remote sensing; Roads; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5630954
  • Filename
    5630954