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SCIENTIA SINICA Informationis, Volume 48 , Issue 8 : 1051-1064(2018) https://doi.org/10.1360/N112017-00023

A novel 3-D reconstruction approach based on group sparsity of array InSAR

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  • ReceivedMar 10, 2017
  • AcceptedMay 17, 2017
  • PublishedJan 18, 2018

Abstract


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References

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  • Figure 1

    (a) The imaging geometry of array InSAR; (b) the layover model of array InSAR

  • Figure 2

    Workflow of the proposed approach of $3$-D reconstruction with array InSAR

  • Figure 3

    Comparison of scatters reconstruction with methods of TSVD, BP and our proposed algorithm. Interval of scatters is (a) 80 m, (b) 40 m, (c) 10 m, (d) 2 m, (e) 1 m, respectively; (f) magnification of part of (e)

  • Figure 4

    Performance evaluation of our proposed algorithm. Detection rate with different (a) super-resolution factors, (b) SNR, (c) array numbers; (d) detection rate with fixed $N~\times~$SNR; (e) super-resolution ability of different $N~\times~$SNR

  • Figure 5

    (a) Laying of corner reflectors with layover phenomenon; (b) SAR image of layover area

  • Figure 6

    Comparison of reconstruction of layover calibration pionts between methods of BP and our proposed algorithm. distance of 15 m with methods of (a) BP, (b) our proposed algorithm; distance of 1.8 m with methods of (c) BP, (d) our proposed algorithm

  • Figure 7

    (a) $2$-D SAR image of building areas; (b) result of $3$-D reconstruction with point clouds

  • Figure 8

    Result of $3$-D reconstruction of building areas with optical patch

  • Table 1   The system parameters of array InSAR
    Item Parameter Item Parameter
    Frequency 15 GHz Velocity 70 m/s
    Bandwidth 500 MHz Azimuth beam width 2$^{\circ}$
    PRF 1 kHz Range beam width 27$^{\circ}$
    Height 600 m Down-view angle 25$^{\circ}$