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LU Wenqiang, HU Xiuqing, HUANG Yong, GAO Xudong, ZHAO Xinglong. Analysis of FY‑3D Satellite Attitude and Orbit Accuracy and Its Influence on Geolocation[J]. Geomatics and Information Science of Wuhan University, 2024, 49(2): 256-263. DOI: 10.13203/j.whugis20210403
Citation: LU Wenqiang, HU Xiuqing, HUANG Yong, GAO Xudong, ZHAO Xinglong. Analysis of FY‑3D Satellite Attitude and Orbit Accuracy and Its Influence on Geolocation[J]. Geomatics and Information Science of Wuhan University, 2024, 49(2): 256-263. DOI: 10.13203/j.whugis20210403
shu

Analysis of FY‑3D Satellite Attitude and Orbit Accuracy and Its Influence on Geolocation

  • 1.

    Shanghai Astronomical Observatory, Chinese Academy of Sciences,Shanghai200030,China

  • 2.

    National Satellite Meteorological Centre,Beijing100081,China

  • 3.

    University of Chinese Academy of Sciences,Beijing100049,China

  • 4.

    Shanghai Institute of Satellite Engineering,Shanghai201109,China

  • 5.

    China Academy of Space Technology,Beijing100094,China

More Information
  • Received Date: October 18, 2022
  • Available Online: January 15, 2023
    Graphical Abstract
    • Abstract
  • Objectives 

    Satellite orbit and attitude errors are the key factors that affect the accuracy of image geolocation. The Fengyun-3D (FY‑3D) satellite medium resolution spectral imager (MERSI) is used as an example to analyze the measured data of orbit and attitude.

    Methods 

    In order to determine the source of the error, the calculation of the entire chain of on-board data is analyzed by using high-precision ephemeris of satellite-borne global navigation satellite system occultation sounder (GNOS), and it is determined that the attitude error comes from the error in the on-board algorithm. A revised and optimized scheme is proposed and the feasibility is analyzed. Then, the corrected attitude and orbit data are used for image geolocation and actual measurement data analysis.

    Results 

    It shows that the geolocation accuracy of MERSI's 1 ‍km image has increased by about 20% in both the along-track and cross-track directions, reach‍ing the sub-pixel level.

    Conclusions 

    The analysis show that it is effective to improve the accuracy of image geolocation by calibrating the error of attitude and orbit.

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    • References (20)
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