• DocumentCode
    2090963
  • Title

    Automated damage detection of buildings from aerial television images of the 2001 Gujarat, India earthquake

  • Author

    Mitomi, Hajime ; Saita, Jun ; Matsuoka, Masashi ; Yamazaki, Fumio

  • Author_Institution
    Earthquake Disaster Mitigation Res. Center, Hyogo, Japan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    147
  • Abstract
    A severe earthquake, which heavily affected Gujarat Province in western India, occurred on 26 January 2001. Using aerial television images taken with a digital video camera from a light plane in the reconnaissance survey carried out by one of the authors, automated detection of areas with building damage, based on both the multi level slice method and the maximum likelihood classifier, was attempted. Areas of building damage were defined based on six image characteristics derived from color indices and edge elements. The resulting estimated distributions of areas of building damage were in good agreement with the actual situation, although we found that it was difficult to use the same threshold values and training data for all the images because of differences in some factors, such as the influence of sunshine and built environment in the two methods
  • Keywords
    disasters; earthquakes; edge detection; geography; image classification; maximum likelihood estimation; remote sensing; video signal processing; 26 January 2001; AD 2001 01 26; Gujarat; India; aerial television images; automated damage detection; buildings; built environment; color indices; digital video; edge elements; image characteristics; maximum likelihood classifier; multi level slice method; severe earthquake; sunshine; Digital cameras; Ear; Earthquakes; Image edge detection; Maximum likelihood detection; Maximum likelihood estimation; Pixel; Reconnaissance; Remote monitoring; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.976085
  • Filename
    976085