• DocumentCode
    3107600
  • Title

    Building L-shape footprint extraction from high resolution SAR image

  • Author

    Zhang, Fengli ; Shao, Yun ; Zhang, Xiao ; Balz, Timo

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    Building extraction in SAR images is still a difficult task due to the geometric distortions, the electromagnetic wave interactions between adjacent targets, and the speckle noises. In this paper, a method for building L-shape footprint extraction from high resolution SAR images jointly using image segmentation and line detection is proposed. Experiments based on a TerraSAR-X image show that method proposed in this paper can accurately delineate the L-shape edges of buildings facing towards the SAR sensor.
  • Keywords
    electromagnetic waves; image resolution; image segmentation; speckle; synthetic aperture radar; L-shape footprint extraction; TerraSAR-X image; adjacent targets; building extraction; electromagnetic wave interactions; geometric distortions; high resolution SAR image; image segmentation; line detection; speckle noise; Buildings; Feature extraction; Image resolution; Image segmentation; Pixel; Scattering; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2011 Joint
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-8658-8
  • Type

    conf

  • DOI
    10.1109/JURSE.2011.5764772
  • Filename
    5764772