• DocumentCode
    2677745
  • Title

    Object oriented assessment of damage due to natural disaster using very high resolution images

  • Author

    Chesnel, Anne-Lise ; Binet, Renaud ; Wald, Lucien

  • Author_Institution
    Commissariat a l´´Energie Atomique, Bruyeres-le-Chatel
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3736
  • Lastpage
    3739
  • Abstract
    A building damage assessment method applied to the case of the earthquake of Bam is proposed in this paper. It uses two very high resolution images and focuses on the footprints of the buildings. The need of an accurate registration of the buildings is demonstrated; a registration method that improved the damage assessment is proposed. It allows a classification performance of the buildings among four damage grades up to 78%. The impact of a lower accuracy of the buildings roofs segmentation is evaluated; we show that it mainly leads to a decrease of the capacity to identify the partial damage on buildings.
  • Keywords
    disasters; earthquakes; geophysical signal processing; geophysical techniques; image classification; image registration; image resolution; image segmentation; seismology; AD 2003 12 26; Bam earthquake; Iran; building damage assessment; building registration; buildings roof segmentation; image classification; natural disaster; object oriented damage assessment; very high resolution images; Conducting materials; Crisis management; Disaster management; Earthquakes; Image analysis; Image databases; Image resolution; Image sensors; Surveillance; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423655
  • Filename
    4423655