• DocumentCode
    142835
  • Title

    Ship detectors exploiting spectral analysis of SAR images

  • Author

    Marino, Armando ; Sanjuan-Ferrer, Maria J. ; Hajnsek, Irena ; Ouchi, Kazuo

  • Author_Institution
    Inst. of Environ. Eng., ETH Zurich, Zurich, Switzerland
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    978
  • Lastpage
    981
  • Abstract
    Ship detection is an important topic for security and surveillance of maritime and costal areas. A solution exploiting satellite-borne SAR sensors is particularly interesting, because it offers wide scale surveillance capabilities, which are not reliant on solar illumination and are rather independent of weather conditions ([1], [2], [3]). In SAR images, the main feature of a ship is a relatively large backscattering signal, which is usually brighter in comparison with the sea background. This led to the idea of using the intensity contrast as a feature to discriminate between targets and sea clutter. Several methodologies were proposed ([1], [3]). Most of these techniques set a statistical test between target and clutter background. Recently, the several ship detectors were proposed that exploits the property of SAR images to perform detection. In this work, two methodologies used for coherent scatterer detection are tested for the first time for ship detection and a comparison of ship detectors based on spectral analysis is performed over L-band ALOS date accompanied by a ground survey.
  • Keywords
    object detection; radar detection; remote sensing by radar; ships; surveillance; synthetic aperture radar; L-band ALOS data; SAR images; clutter background; coherent scatterer detection; costal areas security; costal areas surveillance; maritime areas security; maritime areas surveillance; satellite borne SAR sensors; ship detectors; solar illumination; spectral analysis; Clutter; Coherence; Correlation; Detectors; Marine vehicles; Spectral analysis; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946590
  • Filename
    6946590