• DocumentCode
    2120116
  • Title

    A study on wetland change information image segmentation based on remote sensing

  • Author

    Xu, Jun ; Li, Jiansong

  • Author_Institution
    School of Remote Sensing and Information Engineering, Wuhan University, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    3490
  • Lastpage
    3493
  • Abstract
    In this paper, the region-based image segmentation method is adopted to segment the remote sensing images after continuous analyzing and testing. The author extracts the wetland information from the remote sensing image by region-based image segmentation, and compares the segmentation results with the interpretation results by conventional methods. According to the result of the comparison, the author evaluates the image segmentation accuracy based on the common evaluation criteria that are used to evaluate the image segmentation. After analyzing the result of the segmentation evaluation, the author confirms the reliability that wetland information is extracted from the remote sensing images through the methods of region-based image segmentation.
  • Keywords
    Accuracy; Clustering methods; Data mining; Image segmentation; Iterative methods; Pixel; Remote sensing; clustering; image processing; image segmentation; iterative threshold; regional expansion; remote sensing; segmentation evaluation; wetland;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690116
  • Filename
    5690116