• DocumentCode
    2565404
  • Title

    Volterra-fuzzy B-spline algorithm for 3D coastal bathymetry reconstruction

  • Author

    Marghany, Maged ; Hashim, Mazlan

  • Author_Institution
    Inst. for Sci. & Technol. Geospatial (INSTEG), Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2009
  • fDate
    18-19 Nov. 2009
  • Firstpage
    504
  • Lastpage
    507
  • Abstract
    This paper presents a new approach for three-dimensional (3D) coastal bathymetry reconstruction using TOPSAR multi-polarized data without needing to include any sounding data values. In doing so, two three-dimensional surface models, the Volterra model and a fuzzy B-Spline model, which construct a global topological structure between the data points, were used to support an approximation to the real surface. The statistical differences between real bathymetry map, CVV band and LHH band showed that the best reconstruction of coastal bathymetry was obtained with polarised L with 10 m spatial resolution of TOPSAR data, bias of - 0.04 and the standard error mean of 0.05 m in depth determination was obtained with LHH band.
  • Keywords
    bathymetry; oceanographic techniques; TOPSAR multipolarized data; Volterra-fuzzy B-spline algorithm; bathymetry map; data points; global topological structure; polarised L; sounding data values; spatial resolution; standard error mean; three-dimensional coastal bathymetry reconstruction; three-dimensional surface models; Differential equations; Image reconstruction; Kernel; Oceanographic techniques; Oceans; Polarization; Sea measurements; Speckle; Spline; Surface reconstruction; Fuzzy B-spline algorithm; TOPSAR polarised data; Volterra model; bathymetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5560-7
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2009.5478708
  • Filename
    5478708