• DocumentCode
    2383282
  • Title

    Exploitation of Cosmo SkyMed SAR images for maritime traffic surveillance

  • Author

    Martorella, M. ; Berizzi, F. ; Pastina, D. ; Lombardo, P.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    113
  • Lastpage
    117
  • Abstract
    Moving targets often appear defocussed in SAR images due to their relative motion with respect to the stationary scene. In several applications that require target classification and/or recognition an unfocussed image of a target would likely lead to misclassification, therefore decreasing classification performance. In this paper the authors present a new tool for automatically detecting and refocussing maritime moving targets starting from satellite Single Look Complex (SLC) SAR images. Preliminary results obtained by applying the proposed technique to Cosmo SkyMed (CSK) SLC SAR images show the effectiveness of the proposed approach.
  • Keywords
    image classification; image motion analysis; image recognition; marine engineering; radar imaging; surveillance; synthetic aperture radar; COSMO SkyMed SAR image; SLC SAR image; maritime traffic surveillance; motion target classification; moving target recognition; satellite single look complex SAR image; unfocussed image; Apertures; Image resolution; Image segmentation; Marine vehicles; Pixel; Radar imaging; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2011 IEEE
  • Conference_Location
    Kansas City, MO
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-8901-5
  • Type

    conf

  • DOI
    10.1109/RADAR.2011.5960511
  • Filename
    5960511