• Optics and Precision Engineering
  • Vol. 28, Issue 6, 1265 (2020)
LI Bin1,*, DING Ya-lin1, XIU Ji-hong1, LI Jun1, and QIAO Chuan2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20202806.1265 Cite this Article
    LI Bin, DING Ya-lin, XIU Ji-hong, LI Jun, QIAO Chuan. System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle[J]. Optics and Precision Engineering, 2020, 28(6): 1265 Copy Citation Text show less

    Abstract

    To solve the problem of large geo-location error in the application of ground target geo-location in long-distance aviation imaging with large inclination angle, a systematic error corrected geo-location was proposed. The systematic error analysis and modeling of the long-distance aviation imaging system with large inclination angle was carried out. In view of the difficulty in obtaining the residual error, a method for estimating residual error parameters based on ground control points was proposed.The simulation results show that the residual error can be reduced to 1/10 by estimating residual error parameters based on ground control points. Flight test data confirm that the mean geo-location error can be reduced from 401 m to 97 m by correcting the systematic error in the positioning of targets in long-distance aviation imaging with large inclination angle. Thus, the systematic error corrected geo-location method can effectively improve the accuracy of ground target geo-location in the application of long-distance aviation imaging with large inclination angle.
    LI Bin, DING Ya-lin, XIU Ji-hong, LI Jun, QIAO Chuan. System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle[J]. Optics and Precision Engineering, 2020, 28(6): 1265
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