• DocumentCode
    3309810
  • Title

    Monitoring of collapsed built-up areas with high resolution SAR images

  • Author

    Guida, Raffaella ; Iodice, Antonio ; Riccio, Daniele

  • Author_Institution
    Surrey Space Centre, Univ. of Surrey, Guildford, UK
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2422
  • Lastpage
    2425
  • Abstract
    A new concept for change detection algorithm for urban areas affected by earthquake is here presented. It is characterized as applicable to just one post-event amplitude Synthetic Aperture Radars (SAR) image and employs the inversion of sound scattering models already introduced in literature by the same authors. Aim of the algorithm is to try obtaining fast mapping of damaged areas and provide a first, even rough, evaluation of damage reported. In particular in this paper the overall block diagram chain and the algorithm rationale behind that framework are introduced and discussed in details. Some preliminary results are presented and the performance analyzed. New possible applications based on similar rationale are also commented.
  • Keywords
    earthquakes; electromagnetic wave scattering; environmental monitoring (geophysics); geophysical image processing; image resolution; radar imaging; radar resolution; synthetic aperture radar; block diagram chain; change detection; collapsed built-up area monitoring; damaged area mapping; earthquake; high resolution SAR image; sound scattering model; synthetic aperture radar; urban area; Buildings; Detection algorithms; Earthquakes; Image resolution; Reflection; Synthetic aperture radar; Urban areas; Synthetic Aperture Radar (SAR); disaster monitoring; earthquakes; urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650083
  • Filename
    5650083