Acta Optica Sinica, Volume. 40, Issue 18, 1828003(2020)

Point-Source-Target-Based Method for Space Remote Sensing Geometric Calibration and Positioning Accuracy Improvement

Kai Li1,2、*, Yongsheng Zhang2, Weican Meng3, and Weiming Yang1
Author Affiliations
  • 1Institute of Logistic Science and Technology, Academy of System Engineering, Academy of Military Sciences, Beijing 100071, China
  • 2School of Geospatial Information, SSF Information Engineering University, Zhengzhou, Henan 450001, China
  • 3Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
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    Figures & Tables(11)
    Reflective point source
    Plane distribution of analog control points
    Point source image data. (a) Image of 1000 pixel × 1000 pixel; (b) enlarged point source images corresponding to 4 control points
    Error between calculated and actual value of center position of each point source image
    • Table 1. Root-mean-square error and maximum error between calculated and actual value of center position of point source

      View table

      Table 1. Root-mean-square error and maximum error between calculated and actual value of center position of point source

      ImageRX /pixelRY /pixelRMX /pixelRMY /pixel
      Front view image0.010.010.030.04
      Rear view image0.010.010.030.03
    • Table 2. Single image positioning and stereo positioning errors of front and rear view images under different image point errors

      View table

      Table 2. Single image positioning and stereo positioning errors of front and rear view images under different image point errors

      Target typeCoordinate error of image point /mRXY /mRZ /mRMXY /mRMZ /m
      Point source target0.010.140.100.380.35
      Traditional target0.333.752.469.825.78
      Traditional target110.073.3626.778.09
    • Table 3. Calculated values of external calibration parameters under different image point errors

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      Table 3. Calculated values of external calibration parameters under different image point errors

      Coordinate errors ofimage pointω0 /radω1 /radφ0 /radφ1 /radκ0 /radκ1 /rad
      1 pixel-4.4814×10-55.0200×10-115.7318×10-57.3143×10-111.8368×10-4-2.6546×10-11
      0.33 pixel-4.4819×10-57.2451×10-125.5107×10-52.6148×10-111.7851×10-4-7.9764×10-12
      0.01 pixel-4.4819×10-51.4032×10-125.5941×10-51.5816×10-121.8125×10-4-6.9553×10-12
      True value-4.4811×10-58.3272×10-135.5929×10-58.0215×10-131.8123×10-4-3.1229×10-13
    • Table 4. Calculated values of internal calibration parameters under different image point errors

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      Table 4. Calculated values of internal calibration parameters under different image point errors

      Coordinateerror of imagepointΔxp /mmΔyp /mmk1k2P1P2SR
      1 pixel1.780×10-51.18×10-4-5.76×10-5-1.99×10-71.30×10-42.90×10-42.18×10-4-9.49×10-5
      0.33 pixel6.486×10-67.40×10-5-6.05×10-5-1.86×10-74.75×10-51.79×10-41.11×10-43.46×10-5
      0.01 pixel2.661×10-86.95×10-6-3.32×10-6-4.45×10-91.92×10-71.70×10-5-2.7×10-5-1.25×10-7
      True value3.556×10-86.94×10-6-3.34×10-6-4.51×10-92.58×10-71.70×10-5-2.72×10-5-1.65×10-7
    • Table 5. Positioning errors of control points and check points under different image point errors

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      Table 5. Positioning errors of control points and check points under different image point errors

      Coordinate error ofimage point /pixelControl pointCheck point
      RXY /mRZ /mRMXY /mRMZ /mRXY /mRZ /mRMXY /mRMZ /m
      0.010.140.110.400.350.030.010.040.02
      0.333.532.3810.275.680.470.220.850.60
      19.363.3228.077.821.430.252.250.67
    • Table 6. Positioning errors of check points under different image point errors and control point distributions

      View table

      Table 6. Positioning errors of check points under different image point errors and control point distributions

      Point
      distribution
      Error of 0.01 pixelError of 0.33 pixelError of 1 pixel
      RXY /mRZ /mRMXY /mRMZ /mRXY /mRZ /mRMXY /mRMZ /mRXY /mRZ /mRMXY /mRMZ /m
      27.840.433.849.527.840.433.849.527.840.433.849.5
      3.815.546.339.114.796.989.0913.35.37.29.413.7
      0.140.040.220.083.171.695.723.219.931.0518.371.79
      0.120.040.190.083.081.425.652.209.702.2917.803.03
      0.090.040.120.061.980.763.951.296.172.6211.873.73
      0.070.030.100.042.101.383.992.046.393.1411.944.06
      0.080.050.100.072.381.393.881.937.352.6012.033.09
      0.050.020.080.041.350.412.481.044.020.717.181.37
    • Table 7. Positioning errors of check points when 4 new control points added to 9-point layout plan using precise image point coordinates

      View table

      Table 7. Positioning errors of check points when 4 new control points added to 9-point layout plan using precise image point coordinates

      Point
      distribution
      Error of 0.01 pixelError of 0.33 pixelError of 1 pixel
      RXY /mRZ /mRMXY /mRMZ /mRXY /mRZ /mRMXY /mRMZ /mRXY /mRZ /mRMXY /mRMZ /m
      0.050.010.070.031.330.812.681.224.041.698.022.42
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    Kai Li, Yongsheng Zhang, Weican Meng, Weiming Yang. Point-Source-Target-Based Method for Space Remote Sensing Geometric Calibration and Positioning Accuracy Improvement[J]. Acta Optica Sinica, 2020, 40(18): 1828003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 26, 2020

    Accepted: Jun. 9, 2020

    Published Online: Aug. 28, 2020

    The Author Email: Kai Li (likai_rs@163.com)

    DOI:10.3788/AOS202040.1828003

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