• DocumentCode
    576260
  • Title

    Analysis of methods for reconstructing periodically missed SAR data acquired close to Nyquist

  • Author

    Pinheiro, Muriel ; Rodriguez-Cassola, Marc ; Prats, Pau ; Reigber, Andreas

  • Author_Institution
    German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    307
  • Lastpage
    310
  • Abstract
    The cooperative nature of the TanDEM-X mission bistatic operation allows the periodically exchange of information between transmitter and receiver over the SAR acquisition. With the information gathered during the synchronization (sync) events it is possible to perform the phase and time referencing necessary for the calibration of the bistatic SAR image. However, given that transmitter and receiver are dedicated to the link during the sync events, the reception of SAR signal is periodically interrupted leading to gaps in the SAR raw data. Consequently, the processed SAR image will be corrupted, especially when acquiring close to the Nyquist rate. The paper addresses different approaches based on parametric and non-parametric spectral estimation to reconstruct the missing data and presents results with SAR data from TerraSAR-X and TanDEM-X.
  • Keywords
    data acquisition; image reconstruction; radar imaging; synthetic aperture radar; Nyquist rate; SAR raw data; SAR signal; TanDEM-X mission bistatic operation; TerraSAR-X; bistatic SAR image; nonparametric spectral estimation; parametric estimation; periodic missed SAR data acquisition; phase reference; receiver; sync events; synchronization; time reference; transmitter; Azimuth; Coherence; Estimation; Image reconstruction; Synchronization; Synthetic aperture radar; Urban areas; TanDEM-X; bistatic; missing data; reconstruction; spectral estimation;
  • 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.2012.6351576
  • Filename
    6351576