• DocumentCode
    3769275
  • Title

    Saliency-based ship detection in SAR images

  • Author

    Ying Yu;Fukun Bi;Yuanyuan Pu;Hao Zhou;Jian Yang

  • Author_Institution
    School of Information Science and Engineering, Yunnan University, Kunming, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Synthetic aperture radar (SAR) on a satellite or a plane is a useful tool for ship target detection because it can work in all weather conditions, day and night. However, speckles of sea clutters and heterogeneous sea regions in SAR images will pose challenges on a task of automatic ship detection. In this paper, we propose a visual saliency based method for ship detection in SAR images. The proposed method is automatic, simple and fast in computation, and has the ability to detect ship targets in SAR data. Experiments conducted over a set of real SAR data show that the proposed method is capable of detecting ships accurately and robust against speckles of sea clutters and heterogeneous sea regions.
  • Publisher
    iet
  • Conference_Titel
    Radar Conference 2015, IET International
  • Print_ISBN
    978-1-78561-038-7
  • Type

    conf

  • DOI
    10.1049/cp.2015.1203
  • Filename
    7455425