• DocumentCode
    3690539
  • Title

    Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image

  • Author

    Magdalena Vassileva;Andrea Nascetti;Fabio GiulioTonolo;Piero Boccardo

  • Author_Institution
    DIST - Politecnico di Torino - Torino, Italy
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    2707
  • Lastpage
    2710
  • Abstract
    The present paper is focused on a potential method for unsupervised flood extent classification approach based, on the extraction of radar shadows from SAR simulated image, generated by means of image metadata and an available DSM covering the area of interest. The SAR simulation process is carried out using the SAR Simulator tool, implemented in the free and open SAR PlugIn developed for the Opticks platform. Different tests have been performed using SGF RADARSAT-2 imagery in order to assess the effectiveness of the proposed approach.
  • Keywords
    "Synthetic aperture radar","Accuracy","Radar imaging","Floods","Filtering","Radiometry"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326372
  • Filename
    7326372
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3690539