• DocumentCode
    1577
  • Title

    A Multipolarization Analysis of Coastline Extraction Using X-Band COSMO-SkyMed SAR Data

  • Author

    Buono, Andrea ; Nunziata, Ferdinando ; Mascolo, Lucio ; Migliaccio, Maurizio

  • Author_Institution
    Dipt. di Ing., Univ. degli Studi di Napoli Parthenope, Naples, Italy
  • Volume
    7
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    2811
  • Lastpage
    2820
  • Abstract
    In this study, COSMO-SkyMed (CSK) Synthetic Aperture Radar (SAR) data, collected by the single-polarization stripmap Himage mode, are exploited for coastline extraction purposes. First, a multipolarization analysis of sea surface backscattering is undertaken using the Improved Integral Equation Method (IIEM). Then, a simple two-step approach is proposed to extract the continuous coastline from co- and cross-polarized Himage CSK SAR data. The approach is framed into two steps: 1) obtaining a binary output from the SAR image using a global threshold Constant False Alarm Rate (CFAR) detector; and 2) extracting the continuous one-pixel coastline from the binary output with a conventional Sobel edge detector. The proposed approach is verified against actual CSK SAR data and it is shown to be both effective and accurate when low-to-moderate wind conditions apply.
  • Keywords
    backscatter; edge detection; geophysical image processing; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; CFAR detector; CSK synthetic aperture radar; Himage mode; IIEM; Improved Integral Equation Method; SAR image; Sobel edge detector; X-band COSMO-SkyMed SAR data; binary output; coastline extraction; continuous one-pixel coastline; global threshold Constant False Alarm Rate; multipolarization analysis; sea surface backscattering; single-polarization stripmap; wind conditions; Data mining; Image edge detection; Scattering; Sea measurements; Sea state; Sea surface; Synthetic aperture radar; Coastal areas; Synthetic Aperture Radar (SAR); coastline extraction;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2014.2320366
  • Filename
    6814285