• DocumentCode
    144228
  • Title

    Characterization of scatterers by their energetic dispersive and anisotropic behaviors in high-resolution laboratory radar imagery

  • Author

    Duquenoy, M. ; Ovarlez, J.P. ; Ferro-Famil, L. ; Pottier, E.

  • Author_Institution
    Electromagn. & Radar Dept., ONERA, Palaiseau, France
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4715
  • Lastpage
    4718
  • Abstract
    This paper deals with the analysis of energetic non-stationary objects in already focused High-Resolution (HR) laboratory Radar imaging. Energetic non-stationary scatterers are some backscattering variations (azimuthal variations and/or frequency variations) which are linked to the target properties, for example the Radar Cross-Section (RCS). A method, based on Multi-dimensional Time-Frequency Transform and using basic statistics, is proposed to analyze the anisotropy and/or dispersive energetic behaviors of scatterers in the Radar image formation. The efficiency of this technique is demonstrated, in terms of laboratory radar imaging where statistics are lain to characteristics target parameters. For example, the orientation of a scatterer in the case of a directive response.
  • Keywords
    backscatter; radar cross-sections; radar imaging; time-frequency analysis; RCS; anisotropic behaviors; azimuthal variations; backscattering variations; basic statistics; energetic dispersive; energetic nonstationary objects; energetic nonstationary scatterers; frequency variations; high-resolution laboratory; multidimensional time-frequency transform; radar cross-section; radar imaging; Dispersion; Entropy; Laboratories; Radar imaging; Standards; Time-frequency analysis; Transforms; Radar imaging; continuous wavelet transforms; radar cross-sections; signal analysis; statistical analysis;
  • 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.2014.6947546
  • Filename
    6947546