• DocumentCode
    142664
  • Title

    High accuracy SAR echo generation approach using space-time-variant backscattering characteristics

  • Author

    Kai Wang ; Jie Chen ; Wei Yang ; Jian Zhou

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    656
  • Lastpage
    659
  • Abstract
    In order to generate high accuracy data for space-borne Synthetic Aperture Radar (SAR) image interpretation, a novel parallel SAR echo generation approach is proposed in this paper. Target´s backscattering coefficient is variable at the condition of wide bandwidth and large aspect angle. Considering targets´ space-variant and time-variant backscattering, electromagnetic scattering at arbitrary aspect angle and frequency point is calculated accurately by Finite Difference Time Domain (FDTD). However, FDTD is a time-domain method causing large computation load, thus a parallel processing scheme is designed to reduce simulation time. It was observed that proposed approach provided higher image quality compared to classical method, and parallel scheme was also verified effective in the experiment.
  • Keywords
    backscatter; electromagnetic wave scattering; finite difference time-domain analysis; parallel processing; radar imaging; spaceborne radar; synthetic aperture radar; FDTD method; arbitrary aspect angle; electromagnetic scattering; finite difference time domain method; frequency point calculation; high accuracy SAR echo generation approach; parallel processing scheme; space-borne SAR image interpretation; space-borne synthetic aperture radar image interpretation; space-time-variant backscattering characteristics; Azimuth; Backscatter; Computational modeling; Finite difference methods; Parallel processing; Synthetic aperture radar; Time-domain analysis; FDTD; Parallel Processing; SAR; SAR Echo Data Simulation;
  • 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.2014.6946508
  • Filename
    6946508