• DocumentCode
    575850
  • Title

    Demonstrator of maritime SAR applications: Automatic ship detection results

  • Author

    Jarabo-Amores, Pilar ; González-Bonilla, María José ; Mata-Moya, David ; Martín-de-Nicolás, Jaime ; Palma-Vázquez, Ángel

  • Author_Institution
    Signal Theor. & Commun. Dept., Univ. of Alcala, Madrid, Spain
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3732
  • Lastpage
    3735
  • Abstract
    Synthetic Aperture Radar systems are powerful observation tools for maritime surveillance applications such as fisheries monitoring or pirates detection and oil slick detection. It is an important problem that has not been completely solved. The Demonstrator of Maritime SAR Applications (DeMSAR) is proposed as an answer to these problems. It is an off-line implementation of a SAR image processor for detecting ships and/or oil slicks that provides two operation modes: an automatic processing mode for robust detection with default processing schemes and associated parameters, and a toolbox mode with different libraries conveying sets of algorithms designed for specific processing stages that can be configured by the user. The automatic processing scheme includes an edge detector, land mask estimation and a double parameter CFAR ship detector.
  • Keywords
    edge detection; geophysical image processing; image sensors; object detection; oceanographic techniques; oils; radar imaging; ships; synthetic aperture radar; DeMSAR; Demonstrator of Maritime SAR application; SAR image processing; automatic processing scheme; automatic ship detection; double parameter CFAR ship detector; edge detector; fishery monitoring; land mask estimation; library conveying set; maritime SAR application; maritime surveillance application; oil slick detection; pirate detection; synthetic aperture radar system; toolbox mode; Detectors; Estimation; Feature extraction; Image edge detection; Marine vehicles; Monitoring; Synthetic aperture radar; SAR; feature extraction; land mask; ship detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350506
  • Filename
    6350506