Acta Optica Sinica, Volume. 44, Issue 24, 2428005(2024)

Hierarchical Motion Estimation of Spatially Destabilized Targets under Gaussian Mixture Models

Zhiqiang Zhou, Riming Sun*, Chenglong Guo, and Yilong Zhu
Author Affiliations
  • School of Science, Dalian Jiaotong University, Dalian 116028, Liangning, China
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    Figures & Tables(9)
    Algorithm flow
    Comparison of the average estimation errors for different frame number of point clouds
    Still point cloud images under different noise intensities. (a) Satellite A; (b) satellite B
    Comparative analysis of the estimation errors of motion parameters by DRM[15], RPM[16], TM[10], and proposed method for different motion states. (a) Error of spin angular velocity; (b) error of initial spin axis; (c) error of precession angular velocity; (d) error of precession axis
    Analysis of the estimation errors of DRM[15], RPM[16], TM[10], and proposed method for motion parameters under different Gaussian noise standard deviations for satellite A for 252 different motion states. (a) Mean error of spin angular velocity; (b) mean error of precession location; (c) mean error of initial spin axis; (d) mean error of precession angular velocity; (e) mean error of precession axis
    Motion parameters in the point cloud sequence of satellite B are solved using DRM[15], RPM[16], TM[10], and proposed method, the point clouds of the first and fifth frames are then mapped to the reference time for comparative analysis. (a) Noiseless; (b) 0.5% noise; (c) 1.0% noise; (d) 1.5% noise
    • Table 1. Parameter of linear laser imaging radar

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      Table 1. Parameter of linear laser imaging radar

      Detecting

      distance /m

      Imaging

      resolution

      Field of view /(°)

      Ranging

      precision /cm

      Angle

      precision /(″)

      Data updating /(frame/s)

      Scanning

      time /ms

      50512×51210×102361500
    • Table 2. Single-level and hierarchical results analysis

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      Table 2. Single-level and hierarchical results analysis

      Different strategiesError of initial spinaxis /(°)Error of spin angular velocity /[(°)/s]Error of precessionaxis /(°)Error of precession angular velocity /[(°)/s]
      E(1)S(1)E(2)S(2)E(3)S(3)E(4)S(4)
      1st level0.02630.01300.22220.08860.00460.00560.10730.0579
      2nd level0.01110.00540.19150.11200.00370.00510.10410.0738
      Ours0.01090.00380.16170.07190.00240.00240.07710.0337
    • Table 3. Comparison of different noise reduction weights

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      Table 3. Comparison of different noise reduction weights

      Different weightsError of initial spinaxis /(°)Error of spin angular velocity /[(°)/s]Error of precessionaxis /(°)Error of precession angular velocity /[(°)/s]
      E(1)S(1)E(2)S(2)E(3)S(3)E(4)S(4)
      W(1)0.09950.06640.23040.11910.01310.00940.13180.0860
      W(2)0.07040.04700.27310.13000.01090.01190.14870.1167
      W0.00990.00380.16690.06130.00340.00270.08740.0433
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    Zhiqiang Zhou, Riming Sun, Chenglong Guo, Yilong Zhu. Hierarchical Motion Estimation of Spatially Destabilized Targets under Gaussian Mixture Models[J]. Acta Optica Sinica, 2024, 44(24): 2428005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Mar. 14, 2024

    Accepted: May. 13, 2024

    Published Online: Dec. 13, 2024

    The Author Email: Sun Riming (sunriming78@126.com)

    DOI:10.3788/AOS240731

    CSTR:32393.14.AOS240731

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