• DocumentCode
    714493
  • Title

    Detecting inshore ships in satellite images

  • Author

    Ozcan, Abdullah H. ; Unsalan, Cem

  • Author_Institution
    TUBITAK BILGEM, Gebze, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1220
  • Lastpage
    1223
  • Abstract
    Ship detection in satellite images is used for monitoring illegal fishing and violation of coastal waters or general maritime management. SAR images has been extensively used in this manner. Recently, researchers have started using optical satellite images for ship detection. These studies can be divided into two categories as inshore and offshore ship detection. Offshore ship detection is a relatively easy problem. But, inshore ship detection is a challenging problem in which ships are located closely. In this study, we handle this problem and propose a novel method assuming we have the harbor information beforehand. In the method, the mask is morphologically thickened in single steps and adjacent ships are detected with a contour following method. Moreover, a shape model for the ships is used to eliminate false alarms. We tested the proposed method on high resolution satellite images and achieved promising results.
  • Keywords
    artificial satellites; image resolution; object detection; ships; synthetic aperture radar; SAR image; coastal water violation; contour following method; general maritime management; harbor information; high resolution satellite image; illegal fishing monitoring; inshore ship detection; offshore ship detection; optical satellite image; shape model; Marine vehicles; Optical imaging; Optical sensors; Reactive power; Satellites; Shape; Synthetic aperture radar; Ship detection; contour following; ellipse fitting; satellite images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130057
  • Filename
    7130057