Acta Optica Sinica, Volume. 39, Issue 12, 1211002(2019)

Atmospheric Disturbance Elimination Method Based on Camera System Design

Jiaming Zhang1,2, Cong Sun1,2, Tao Li1,2, and Yang Shang1,2、*
Author Affiliations
  • 1College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China
  • 2Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, Changsha, Hunan 410073, China
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    Figures & Tables(12)
    Light pipe layout for “Yuan Wang” roll deformation angle measurement
    Atmospheric disturbance model
    Opposite view imaging system model
    Plane mirror reflection imaging system
    Reprojection error of camera system calibration. (a) Camera 1; (b) camera 2
    Raw data of experimental group and control group. (a) Experimental group of camera 1; (b) control group of camera 1; (c) experimental group of camera 2; (d) control group of camera 2
    • Table 1. Camera calibration results

      View table

      Table 1. Camera calibration results

      CameraDistortion center (u0,v0) /pixelLens distortion (k1,k2,k3,p1,p2) /%
      Camera 1(454.4, 974.4)(-5.97×10-3, 7.93×10-2, -4.68×10-2, 1.96×10-2, -2.65×10-4)
      Camera 2(399.9, 969.7)(8.33×10-3, -2.35×10-2, -6.87×10-2, 4.77×10-3, -3.53×10-4)
    • Table 2. Pose parameters of calibration plate with planar mirror resolving

      View table

      Table 2. Pose parameters of calibration plate with planar mirror resolving

      Camera(Ax,Ay,Az) /rad(Tx,Ty,Tz)
      Camera 1(1.551, 0.095, 0.246)(-19.053,70.374,1.201)
      Camera 2(-0.115, 0.149, -1.577)(43.081,-19.101,2.527)
    • Table 3. Calculated pose parameters of control group

      View table

      Table 3. Calculated pose parameters of control group

      Camera(Ax,Ay,Az) /rad(Tx,Ty,Tz)
      Camera 1(-1.515,-0.055,0.047)(-99.702,179.014,860.905)
      Camera 2(-1.524,0.202,-0.049)(-0.493,-121.131,934.423)
    • Table 4. Pose parameters calculated from experimental group data

      View table

      Table 4. Pose parameters calculated from experimental group data

      Camera(Ax,Ay,Az) /rad(Tx,Ty,Tz)
      Camera 1(-1.515,-0.055,0.048)(-95.672,169.535,833.601)
      Camera 2(-1.525,0.204,-0.048)(-0.833,-115.622,-909.013)
    • Table 5. Pose parameter optimization results calculated from experimental group data

      View table

      Table 5. Pose parameter optimization results calculated from experimental group data

      Camera(Ax,Ay,Az) /rad(Tx,Ty,Tz)
      Camera 1(-1.515,-0.054,0.048)(-99.082,178.890,859.223)
      Camera 2(-1.524,0.203,-0.048)(-0.603,-120.542,929.835)
    • Table 6. Comparison of initial solution results and optimization results of experimental group with results of control group

      View table

      Table 6. Comparison of initial solution results and optimization results of experimental group with results of control group

      Data(Ax,Ay,Az) /(°)Distance error /%
      Initial data of experimental group(0.057,0.093,0.115)2.99
      Optimized data of experimental group(0.023,0.076,0.115)0.35
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    Jiaming Zhang, Cong Sun, Tao Li, Yang Shang. Atmospheric Disturbance Elimination Method Based on Camera System Design[J]. Acta Optica Sinica, 2019, 39(12): 1211002

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    Paper Information

    Category: Imaging Systems

    Received: May. 29, 2019

    Accepted: Aug. 20, 2019

    Published Online: Dec. 6, 2019

    The Author Email: Yang Shang (shangyang1977@nudt.edu.cn)

    DOI:10.3788/AOS201939.1211002

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