• DocumentCode
    2524538
  • Title

    Screening of Spotlight CSK images for large area monitoring and detection of infrastructures

  • Author

    Garzelli, Andrea ; Zoppetti, Claudia ; Pinelli, Gianpaolo ; Greco, Mario

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
  • fYear
    2012
  • fDate
    12-14 Sept. 2012
  • Firstpage
    349
  • Lastpage
    352
  • Abstract
    This paper presents an automatic pre-screening algorithm of SAR images of huge size (more than 20;000×20;000 pixels), which is capable to identifying extended infrastructures in an effective and computationally efficient way. The algorithm is tested on true one-look Cosmo-SkyMed SAR image data for target detection purposes on an airport scenario. Both visual and objective results are presented to show the potentials of the proposed method.
  • Keywords
    object detection; radar imaging; synthetic aperture radar; SAR images; automatic prescreening algorithm; large area monitoring; nfrastructure detection; one-look Cosmo-SkyMed SAR image data; spotlight CSK image screening; target detection; Airports; Backscatter; Object detection; Spatial resolution; Standards; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on
  • Conference_Location
    Naples
  • Print_ISBN
    978-1-4673-2443-4
  • Type

    conf

  • DOI
    10.1109/TyWRRS.2012.6381154
  • Filename
    6381154