Volume 10 Issue 3
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Article Navigation >  Journal of Radars  > 2021  >  10(3): 391-401
HU Xiaoning, WANG Bingnan, XIANG Maosheng, et al. InSAR elevation inversion method based on backprojection model with external DEM[J]. Journal of Radars, 2021, 10(3): 391–401. doi: 10.12000/JR20144
Citation: HU Xiaoning, WANG Bingnan, XIANG Maosheng, et al. InSAR elevation inversion method based on backprojection model with external DEM[J]. Journal of Radars, 2021, 10(3): 391–401. doi: 10.12000/JR20144
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InSAR Elevation Inversion Method Based on Backprojection Model with External DEM

DOI: 10.12000/JR20144
  • 1.

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China

  • 3.

    University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  The National Natural Science Foundation of China (62073306), Youth Innovation Promotion Association CAS, National Key R&D Program of China (2017YFC0822400)
More Information
  • Corresponding author: WANG Bingnan, wbn@mail.ie.ac.cn
  • Received Date: 2020-11-28
  • Rev Recd Date: 2021-03-29
    • Available Online: 2021-04-28
  • Publish Date: 2021-04-28
    Abstract
  • When Interferometric Synthetic Aperture Radar (InSAR) is used to obtain the Digital Elevation Model (DEM), highly sloped terrains will make interferometric fringes dense and increase the difficulty of phase unwrapping, which will affect the accuracy of phase unwrapping and elevation inversion. To solve this problem, an InSAR elevation inversion method based on BackProjection (BP) model with an external DEM is proposed. This model achieves imaging and InSAR DEM inversion in a uniform BP geographic space and introduces an external DEM as auxiliary information. These processes, in turn, can remove most phases of the terrain and reduce the density of interferometric fringes and phase wrapping. Additionally, the proposed method can avoid the procedures of image registration and phase unwrapping in most cases, which simplifies traditional InSAR processing and achieves high processing accuracy. A simulation experiment and X-band InSAR data processing were performed to verify the effectiveness of the proposed method.

     

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