• DocumentCode
    2980191
  • Title

    Flooded area detection using multi-temporal TerraSAR-X data

  • Author

    Lu, Xin ; Wang, Jieqoing ; Wang, Zhenghuan ; Sun, Hong

  • Author_Institution
    Signal Process. Lab., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    155
  • Lastpage
    159
  • Abstract
    Flood is one of the most common and expensive natural disaster. Rapid and efficient procedure to accurately detect the flood-inundated area irrespective of weather conditions will help the monitoring and rescuing during the seasonal flooding period. In this paper, a procedure is proposed to obtain the flood mapping using multi-temporal TerraSAR-X data. And a comparative experiment is design to test the effect of the proposed procedure. The result shows that it can extract the flooding area effectively.
  • Keywords
    floods; geophysical signal processing; hydrological techniques; radar imaging; synthetic aperture radar; flood mapping; flood-inundated area; flooded area detection; multitemporal TerraSAR-X data; natural disaster; seasonal flooding; Adaptive optics; Clustering algorithms; Data mining; Filtering algorithms; Floods; Image segmentation; Iterative algorithms; Kernel; Signal processing algorithms; Sun; TerraSAR-X; detection; flood; multi-temporal;
  • 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.2009.5374134
  • Filename
    5374134