• DocumentCode
    2981207
  • Title

    Study on outline extraction for ground buildings in high resolution SAR images

  • Author

    Li, Yan ; Cao, Xiaoguang ; You, Hongjian

  • Author_Institution
    Image Process. Center, Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    813
  • Lastpage
    816
  • Abstract
    This paper analyses the visual characteristics of ground buildings in high resolution SAR images: the L-shaped echoes resulted from layer over and corner reflection effects give expression to the information of location and height of buildings. Therefore, to vectorize the L-shaped outline of the buildings has a great value in the field of city mapping. Focusing on L-shaped echoes, this paper investigates an outline vectorization algorithm for buildings. Firstly, the method counters the image after segmentation, then gets the main direction of buildings based on Hough Transform. After using polygon approaches on the outline, finally, the method adopts piecewise linear fitting by least-square algorithm and constructs 3-D model of buildings. Experiments on SAR images show that this approach is much fast in extraction of ground buildings with convenience and practicality.
  • Keywords
    Hough transforms; image segmentation; least squares approximations; radar clutter; radar imaging; synthetic aperture radar; Hough Transform; L-shaped echoes; corner reflection effects; ground buildings; high resolution SAR images; image segmentation; layer over reflection effects; least-square algorithm; outline vectorization algorithm; piecewise linear fitting; Buildings; Cities and towns; Counting circuits; Data mining; Image analysis; Image resolution; Image segmentation; Information analysis; Piecewise linear techniques; Reflection; Hough Transform; L-shaped echoes; Polygon approach; Vectorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374180
  • Filename
    5374180