• DocumentCode
    142620
  • Title

    Validation of an automatic system to detect oil spills in X- and L-band SAR images

  • Author

    Trivero, P. ; Biamino, W. ; Cavagnero, M. ; Di Matteo, L. ; Loreggia, D.

  • Author_Institution
    Dipt. di Sci. e Innovazione Tecnol., Univ. del Piemonte Orientale “A. Avogadro”, Alessandria, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    565
  • Lastpage
    568
  • Abstract
    Satellite-borne SAR is used for sea surface observation and extraction of meteo-marine features as well as detection of oil slicks. In this paper we want to describe the activity based on the detection algorithm we developed in previous activities, able to identify oil spills in an automatic routinely way, as well as to evaluate detection reliability with a percentage value. Starting from that previous algorithm we developed for ERS and Envisat data, we extended its capabilities by identifying suitable radiometric parameters for L- and X-band data products. We tested our procedure on L- and X-band SAR images with the aim to assess their effectiveness in discriminating verified oil slicks found on sea surface.
  • Keywords
    geophysical image processing; image recognition; marine pollution; oceanographic techniques; oil pollution; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; water pollution measurement; ERS data; Envisat data; L-band SAR images; L-band data products; X-band SAR images; X-band data products; automatic system validation; detection algorithm; detection reliability; meteomarine features; oil slick detection; oil spill detection; oil spill identification; radiometric parameters; satellite borne SAR; sea surface extraction; sea surface observation; Films; Remote sensing; Satellites; Sea measurements; Sea surface; Surface waves; Synthetic aperture radar; ALOS; Cosmo-SkyMed; Oil Spill; Remote Sensing; 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.2014.6946485
  • Filename
    6946485