• DocumentCode
    2229174
  • Title

    Ionosar - collaborative research towards understanding and mitigating ionospheric effects in SAR

  • Author

    Meyer, F.J. ; Papathanassiou, K. ; Kim, J.S. ; Pi, X. ; Freeman, A. ; Chotoo, K. ; Groves, K. ; Jones, E.

  • Author_Institution
    Geophys. Inst., Univ. of Alaska Fairbanks, Fairbanks, AK, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6039
  • Lastpage
    6042
  • Abstract
    The theoretical framework necessary to facilitate the mitigation of ionospheric physical effects on amplitude and phase of low-frequency space-based synthetic aperture radars (SAR) is presented. By way of a unique research collaboration the authors have developed mathematical and stochastic descriptors of the spatio-temporal structure and its impact on SAR signals passing through the ionosphere during different levels of scintillation. The authors have developed a prototype integrated ionospheric processor that combines multiple existing and newly developed correction methods with the goal to maximize correction robustness and accuracy. For the first time, realistic stochastic models describing the amplitude and spatial structure the ionosphere were developed and validated; thereby, allowing the study and discovery of the origin of SAR image artifacts that are caused by ionosphere scintillation; i.e., a noise-like high frequency phase distortion.
  • Keywords
    geophysical image processing; ionospheric electromagnetic wave propagation; ionospheric techniques; stochastic processes; synthetic aperture radar; IonoSAR; SAR image artifacts; SAR signals; correction methods; correction robustness; ionosphere scintillation; ionospheric effects; ionospheric physical effects; low-frequency space-based synthetic aperture radars; mathematical descriptor; noise-like high frequency phase distortion; prototype integrated ionospheric processor; realistic stochastic models; scintillation levels; spatiotemporal structure; stochastic descriptor; Coherence; Data models; Faraday effect; Ionosphere; Predictive models; Stochastic processes; Synthetic aperture radar; Calibration; Ionosphere; Signal Correction; Synthetic Aperture Radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352230
  • Filename
    6352230