• DocumentCode
    3690792
  • Title

    Ship detection in Sentinel-1 imagery using the H-dome transformation

  • Author

    C. P. Schwegmann;W. Kleynhans;B. P. Salmon;L. Mdakane

  • Author_Institution
    Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    3711
  • Lastpage
    3714
  • Abstract
    The ability to reliably detect ships within the ocean is one of the core capabilities of Maritime Domain Awareness. Constant improvements are pursued in both computational speed and reliable responses to events by exploring new ship detection methods. One such improvement is the availability of Sentinel-1 imagery. Owing to the fact that ships are considered locally bright objects, we propose using the H-dome transform to process the SAR image and improve ship detectability. The method was tested against two Sentinel-1 images in both HH and HV polarizations containing 82 ships. The method improved the false alarm rates when compared to the conventional cell-averaging Constant False Alarm Rate method at a minor reduction in detection accuracy.
  • Keywords
    "Marine vehicles","Synthetic aperture radar","Transforms","Gray-scale","Clutter","Accuracy","Image reconstruction"
  • 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.2015.7326629
  • Filename
    7326629