• DocumentCode
    2828857
  • Title

    Object-oriented building damage analysis in VHR optical satellite images of the 2004 Tsunami over Kalutara, Sri Lanka

  • Author

    Gamba, Paolo ; Dell´Acqua, Fabio ; Odasso, Luca

  • Author_Institution
    Univ. of Pavia, Pavia
  • fYear
    2007
  • fDate
    11-13 April 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we analyse a series of pre-and post-event images for the 2004 Tsunami in south-western Sri Lanka coast. The analysis is aimed at locating and extracting buildings in high-resolution optical satellite images acquired before and after the event, in order to compare results and find which buildings have collapsed or otherwise been seriously damaged. The detection and extraction of buildings is carried out based on a software suite developed within our research group, conceived to extract significant elements and objects from satellite images. Results are evaluated and some examples are shown visually.
  • Keywords
    feature extraction; object detection; object recognition; terrain mapping; tsunami; AD 2004; Kalutara; Sri Lanka; VHR optical satellite images; building detection; building extraction; object extraction; object recognition; object-oriented building damage analysis; post-event images; preevent images; tsunami; Data mining; Image analysis; Image resolution; Object detection; Optical sensors; Remote sensing; Satellites; Standards development; Tsunami; Urban areas; VHR satellite images; damage assessment; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Joint Event, 2007
  • Conference_Location
    Paris
  • Print_ISBN
    1-4244-0712-5
  • Electronic_ISBN
    1-4244-0712-5
  • Type

    conf

  • DOI
    10.1109/URS.2007.371787
  • Filename
    4234386