300 / 2020-01-06 04:20:00
Coprime TomoSAR: A New Geometry of Baselines in SAR Tomography
tomographic SAR imaging; coprime baselines; iterative adaptive approach; single-look; super-resolution
摘要待审
Long Long / National University of Defense Technology, China
Xiaotao Huang / National University of Defense Technology, China
Dong Feng / National University of Defense Technology, China
This paper proposes a new geometry of baselines in tomographic SAR, whose elevation passes are structured in accordance with the geometry of the coprime array. Due to the sparse distribution of these passes, the total span length of the coprime baselines is longer than that of the dense baselines, providing the potential improvement of resolution in height direction but the inevitable deterioration of the height ambiguity ratio. To improve the smearing and leakage of height profile caused by the sparse sampling, the iterative adaptive approach (IAA) is applied to focus the height profile. It can obtain super-resolution elevation reconstruction even in the condition of one available snapshot. Simulation results are exhibited to evaluate the performance of the proposed coprime baselines in tomographic SAR, and the comparison with the dense and uniform baselines shows that the reconstructed height profile of the coprime baselines excels that of dense baselines exploiting either of the FFT-based approach and the IAA.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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