• DocumentCode
    3690387
  • Title

    Performance evaluation of Sentinel-1 data in SAR ship detection

  • Author

    Ramona Pelich;Nicolas Longépé;Grégoire Mercier;Guillaume Hajduch;René Garello

  • Author_Institution
    CLS - Avenue La Pé
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    2103
  • Lastpage
    2106
  • Abstract
    This study addresses the performances of ship detection with data acquired by the newly launched Sentinel-1 SAR sensor. An automatic validation approach based on coastal AIS data is employed for measuring the detection efficiency. Results are compared with ship detection capabilities conducted on Radarsat-2 and CosmoSkymed datasets. The influence of different key parameters, such as SAR imaging characteristics (polarization, incidence angle) or meteorological conditions, is addressed. Such an analysis is useful for operational services to determine data specifications that assure optimum vessel detection for maritime surveillance applications.
  • Keywords
    "Marine vehicles","Synthetic aperture radar","Image resolution","Satellites","Wind speed","Surveillance","Europe"
  • 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.2015.7326217
  • Filename
    7326217