• DocumentCode
    575864
  • Title

    Multichannel InSAR DEM reconstruction through closed-form robust Chinese remainder theorem

  • Author

    Yuan, Zhihui ; Li, Fei ; Deng, Yunkai ; Wang, Robert ; Liu, Gang

  • Author_Institution
    Dept. of Space Microwave Remote Sensing, Inst. of Electron., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4006
  • Lastpage
    4009
  • Abstract
    Interferometric synthetic aperture radar (InSAR) multichannel system, based on the collection of more interferograms acquired in a multifrequency or in a multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this paper, we present a new method to solve the digital elevation model (DEM) reconstruction problem using the closed-form robust Chinese remainder theorem (CRT). This method uses the remainder differential process, which does not exist in the traditional CRT, to improve the robustness of the DEM reconstruction. The simulation results demonstrate that the performance of the proposed method is better than statistical methods such as maximum likelihood (ML) estimation techniques, when the number of independent interferograms does not large enough.
  • Keywords
    digital elevation models; radar interferometry; statistical analysis; synthetic aperture radar; CRT; ML estimation technique; closed-form robust Chinese remainder theorem; digital elevation model reconstruction problem; discontinuous terrain height profiles; interferograms; interferometric synthetic aperture radar multichannel system; maximum likelihood estimation technique; multibaseline configuration; multichannel InSAR DEM reconstruction; remainder differential process; statistical method; Image reconstruction; Indexes; Maximum likelihood estimation; Robustness; Simulation; Synthetic aperture radar; Chinese remainder theorem (CRT); Digital elevation model (DEM) reconstruction; robustness; synthetic aperture radar (SAR) interferometry;
  • 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.2012.6350531
  • Filename
    6350531