• DocumentCode
    2121719
  • Title

    Application of the damage detection method using SAR intensity images to recent earthquakes

  • Author

    Matsuoka, Masashi ; Yamazaki, Fumio

  • Author_Institution
    Earthquake Disaster Mitigation Res. Ctr., NIED, Hyogo, Japan
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    2042
  • Abstract
    One of the remarkable characteristics of synthetic aperture radar (SAR) is to record physical value called the backscattering coefficient of the Earth´s surface not depending on weather conditions and Sun illumination. Therefore, SAR could be a powerful tool and be used to develop a universal method for grasping damaged areas by disasters such as earthquakes, forest fires and floods. Detailed ground truth data for building damage due to the 1995 Kobe earthquake provided us the opportunity to investigate the relationship between the backscattering property from SAR images and the degree of damage. From the above analysis we have already developed a method to detect areas of building damage. In this paper, we applied this method to the images taken over the area hit by the 1999 Kocaeli, Turkey and the 2001 Gujarat, India earthquakes, and then the accuracy of the proposed method was examined by comparing the results of the analyses with those from the damage surveys.
  • Keywords
    earthquakes; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; Gujarat earthquake; India; Japan; Kobe; Kocaeli earthquake; SAR; SAR intensity image; Turkey; backscattering coefficient; building damage; city; damage detection method; earthquake damage; geophysical measurement technique; image analysis; image processing; land surface; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; town; urban area; Backscatter; Earth; Earthquakes; Fires; Floods; Image analysis; Lighting; Radar detection; Sun; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026438
  • Filename
    1026438