• DocumentCode
    144076
  • Title

    Study on extraction of earthquake damage information based on regional optimizing change detection from remote sensing image

  • Author

    Haixia Yang ; Aixia Dou ; Wei Zhang ; Shusong Huang

  • Author_Institution
    Inst. of Earthquake Sci., China Earthquake Adm., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4272
  • Lastpage
    4275
  • Abstract
    After the devastating earthquake, change detection with pre-earthquake images and post-earthquake images can find the seriously damaged area quickly, which provides important information for rescue. Shen et al. (2011) researched the influence of image registration error on change detection with high resolution RS images[1]. Rathje (2005), Zhang et al. (2013) made an intense research on the method of change detection to acquire earthquake damage[2][3]. In this paper, we identify earthquake damage by means of regional optimizing correlation coefficient method with processed pre-earthquake ratio image and post-earthquake ratio image, compared with the result acquired only with single band image. The result shows that the effect of the new method is improved obviously.
  • Keywords
    earthquakes; geophysical image processing; image registration; object recognition; remote sensing; devastating earthquake; earthquake damage identification; earthquake damage information extraction; post-earthquake ratio image; preearthquake ratio image; regional optimizing change detection; regional optimizing correlation coefficient method; remote sensing image; rescue information; seriously damaged area; Buildings; Correlation coefficient; Earthquakes; Histograms; Image resolution; Remote sensing; Urban areas; Change detection; Earthquake damage; Regional optimizing method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947433
  • Filename
    6947433