• DocumentCode
    1755502
  • Title

    A Novel Approach Based on Marine Radar Data Analysis for High-Resolution Bathymetry Map Generation

  • Author

    Ludeno, Giovanni ; Flampouris, S. ; Lugni, Claudio ; Soldovieri, Francesco ; Serafino, Francesco

  • Author_Institution
    Inst. for Electromagn. Sensing of the Environ., Naples, Italy
  • Volume
    11
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    234
  • Lastpage
    238
  • Abstract
    This letter deals with the analysis of a novel data processing approach to estimate the local depth in a shallow coastal area starting from data collected by an in situ X-band radar system. The reconstruction approach is based on the maximization of the normalized scalar product (NSP) between the measured and the theoretical wave dispersion relation, which embeds the dependence on the searched for parameter (local depth). The use of NSP approach allows obtaining a high-resolution spatial map of the investigated area, and a thorough statistical analysis is carried out by comparing the local depth estimation results with the ground-truth data made available by a multi-beam echo-sounder survey. In addition, the improved accuracy of the NSP approach is demonstrated with respect to other methods previously used for the analysis of the same area.
  • Keywords
    bathymetry; data analysis; dispersion (wave); ocean waves; oceanographic techniques; optimisation; remote sensing by radar; statistical analysis; data processing approach; ground-truth data; high-resolution bathymetry map generation; high-resolution spatial map; in-situ X-band radar system; local depth estimation; marine radar data analysis; maximization; multibeam echo-sounder survey; normalized scalar product; reconstruction approach; shallow coastal area; statistical analysis; wave dispersion relation; Bathymetry; X-band radar system; sea state monitoring; shallow coastal areas;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2254107
  • Filename
    6524036