• DocumentCode
    1759240
  • Title

    Coastline Extraction Using Dual-Polarimetric COSMO-SkyMed PingPong Mode SAR Data

  • Author

    Nunziata, Ferdinando ; Migliaccio, Maurizio ; Xiaofeng Li ; Xianwen Ding

  • Author_Institution
    Dipt. perle Tecnol., Univ. degli Studi di Napoli Parthenope, Naples, Italy
  • Volume
    11
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    104
  • Lastpage
    108
  • Abstract
    A two-step physically consistent procedure is proposed to exploit COSMO-SkyMed (CSK) synthetic aperture radar (SAR) data acquired in the incoherent dual-polarization PingPong mode. The first step, which deals with land/sea discrimination, is accomplished in a robust and effective way by exploiting the inherent peculiarities of the CSK PingPong mode. Hence, a dual-polarization scattering model that relates the correlation between the HH and VV CSK polarimetric channels to the coherence time of the observed scene is first proposed. The second step, which deals with the extraction of the continuous coastline, is accomplished by a simple image processing that consists of extracting intermediate frequency components using two Gaussian-shaped filters. Experiments undertaken over actual CSK single-look slant range complex PingPong HH/VV SAR data show the physical soundness of the proposed rationale and the processing effectiveness.
  • Keywords
    feature extraction; geophysical image processing; radar polarimetry; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed PingPong Mode SAR data; CSK synthetic aperture radar data; HH polarimetric channel; VV CSK polarimetric channel; coastline extraction; dual polarimetric SAR data; dual polarization scattering model; land-sea discrimination; Data mining; Image edge detection; Remote sensing; Robustness; Sea surface; Spatial resolution; Synthetic aperture radar; Coastline; polarimetry; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2247561
  • Filename
    6480786