• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2228002 (2021)
Chengzhou Jiang1、2, Jianbo Liu1, Jin Yang1、*, Yong Ma1, and Wutao Yao1
Author Affiliations
  • 1China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • show less
    DOI: 10.3788/LOP202158.2228002 Cite this Article Set citation alerts
    Chengzhou Jiang, Jianbo Liu, Jin Yang, Yong Ma, Wutao Yao. Rapid Forecast Model of Moon Observation by Polar-Orbiting Satellite Equipped with Area-Array Cameras[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2228002 Copy Citation Text show less

    Abstract

    Lunar calibration is one of the important ways of satellite reflective solar bands on-orbit calibration. The most critical step in lunar calibration is to select the timing of observation. A rapid lunar observation forecast model is proposed, which is suitable for area-array cameras. The model first determines the distribution range of the time window by a fixed time step, and then selects several iso-distance scattering points on the projection circle of the moon in the direction of the satellite field of view, which is used to accurately determine the relationship between the moon and the satellite field of view. Subsequently, it uses the Fibonacci sequence search method to quickly calculate the time window of the moon entering and leaving the camera field of view. The simulation experiments show that the proposed model can improve the computational efficiency, reduce the computation cost, and make the prediction more accurate if compared with the conventional track propagation methods. The average deviation of visibility calculation accuracy between the proposed method and the Satellite Tool Kit (STK) method is in the sub-second scale.
    Chengzhou Jiang, Jianbo Liu, Jin Yang, Yong Ma, Wutao Yao. Rapid Forecast Model of Moon Observation by Polar-Orbiting Satellite Equipped with Area-Array Cameras[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2228002
    Download Citation