Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (3): 503-511.doi: 10.11947/j.AGCS.2024.20220597

• hotogrammetry and Remote Sensing • Previous Articles     Next Articles

The positioning method of lunar observations by Jilin-1 Guangpu satellite

JING Zhenhua1, HU Xiuqing2,3, LI Shuang1   

  1. 1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Space Weather Monitoring and Early Warning Center), China Meteorological Administration, Beijing 100081, China;
    3. Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
  • Received:2022-10-19 Revised:2023-12-09 Published:2024-04-08
  • Supported by:
    The National Key Research and Development Program of China (Nos. 2022YFB3902900; 2022YFB3902901); The Funding for Outstanding Doctoral Dissertation in NUAA (No. BCXJ22-12)

Abstract: The clarification of pixel positions in remote sensing images is an essential prerequisite for data applications, and in combination with the high-resolution Moon views obtained by Earth-orbiting satellites, it is promising to calibrate satellite instruments directly by the radiance of specific regions of the lunar surface. This paper proposes a method to calculate the lunar image coordinates without relyingstrictly on the instrument parameters for the Jilin-1 GuangPu02 (JL1GP02) lunar observations. The selenographic coordinates of the two-dimensional image pixels are calculated by the satellite view libration at the observation moment and the orientation relationship between the Moon and instrument scans, and the geometric positioning quality is evaluated by creating simulated images. Results show that the geometric deviations of the lunar observation images at different resolutions are usually within 1.3 pixels, and the time series results for about two years agree well and generally follow a normal distribution, indicating the reliability of the positioning results. The method can avoid complicated coordinate transformation and achieve image-level geometric positioning of lunar images when the interior orientation parameters are unknown.

Key words: geometric positioning, lunar image, coordinate transformation, Jilin-1 satellite, lunar calibration

CLC Number: