• DocumentCode
    2320704
  • Title

    The utilization of SAR remote sensing and GIS technology to delineate urban extent in North China

  • Author

    Deng Biao ; Guo Huadong ; Nie Yueping

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Urban environments represent one of the most dynamic regions on earth. In order to obtain more frequently updated and spatially detailed data on urban phenomena, remote sensing satellites can serve as a valuable instrument. With its ability to image the Earth´s surface in nearly all weather conditions, together with its high spatial resolution, synthetic aperture radar (SAR) represents a very powerful observation tool for monitoring geophysical resources globally. SAR images with high resolution have proven their usefulness for land description and scene analysis. The goal of this study was the development of a temporally and spatially robust approach towards an automated identification of built-up areas based on RADARSAT imagery. In our work, the urban extent distributed in the major part of North China was extracted and delineated. By visual inspection, the resulting map of urban extent was acceptable.
  • Keywords
    feature extraction; geographic information systems; geophysical techniques; geophysics computing; image recognition; remote sensing by radar; synthetic aperture radar; Earth surface; GIS technology; North China; RADARSAT imagery; SAR remote sensing; automated built-up areas identification; geophysical resources monitoring; land description; scene analysis; urban environments; urban extent delineation; urban extent extraction; visual inspection; weather conditions; Condition monitoring; Earth; Geographic Information Systems; Image resolution; Instruments; Remote monitoring; Remote sensing; Satellites; Spatial resolution; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137600
  • Filename
    5137600