• DocumentCode
    2710051
  • Title

    Extraction of sandbank shoreline of Jiangsu based on wavelet transformation

  • Author

    Wang, Yongxing ; Liu, Yongxue ; Li, Manchun ; Yan, Shuo ; Ma, Xiaowei ; Zhang, Shuai ; Zhang, Jing

  • Author_Institution
    Dept. of Geographic Inf. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The sandbank is a potential huge land resources, especially for land nervous regions, however, it has a very important realistic significance. So it becomes more important for sandbank shoreline´s rapid monitoring, extraction and changing analysis. For the rapid extraction of sandbank shoreline of Jiangsu, China. Wavelet transform will be used first to process TM image. Then, on the basis of analyzing the gray value in each band of TM image, spectrum-photometric method will be used to pick up water body. And then generate a binary image, and carries on the non-directional edge enhancement processing. Last, generate a vector image of sandbank shoreline. By this method, we can improve the computer processing speed, and, it is useful for treatment of mass data of multi-temporal and wide range. In addition, also greatly shorten the time of artificial extraction and reduce the error caused by artificial subjective.
  • Keywords
    edge detection; geomorphology; geophysical image processing; geophysical techniques; wavelet transforms; Jiangsu; TM image; binary image; computer processing speed; edge enhancement processing; land resources; remote sensing; sandbank shoreline; spectrum-photometric method; wavelet transformation; Continuous wavelet transforms; Data mining; Presses; Remote sensing; Wavelet analysis; Remot Sensing; Sandbank Shoreline of Jiangsu; The Water Line; Wavelet Transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980914
  • Filename
    5980914