Li, H.; Tong, X.; Qiu, C.; Guo, C.; Shang, J.; Wang, Z.; Sun, Y. A Rapid Geolocation Algorithm for Three-axis Stabilization Geostationary Remote Sensing Satellite. Preprints2023, 2023121950. https://doi.org/10.20944/preprints202312.1950.v1
APA Style
Li, H., Tong, X., Qiu, C., Guo, C., Shang, J., Wang, Z., & Sun, Y. (2023). A Rapid Geolocation Algorithm for Three-axis Stabilization Geostationary Remote Sensing Satellite. Preprints. https://doi.org/10.20944/preprints202312.1950.v1
Chicago/Turabian Style
Li, H., Zhichao Wang and Yuekun Sun. 2023 "A Rapid Geolocation Algorithm for Three-axis Stabilization Geostationary Remote Sensing Satellite" Preprints. https://doi.org/10.20944/preprints202312.1950.v1
Abstract
The three-axis stabilization geostationary remote sensing satellite features high time resolution and plays a significant role in weather forecasting and environmental monitoring. With the future development of satellite technology, we propose a rapid geolocation algorithm for three-axis stabilization geostationary remote sensing satellites from the perspective of software algorithms. The method assesses conventional remote sensing data geolocation methods and the coordination group for meteorological satellites (CGMS, Coordination Group for Meteorological Satellites) nominal grid publishing format. First, the initial incident viewing vector of each detector on the sensor was constructed. Then, by reflecting the satellite platform's east-west and north-south mirrors, the outgoing vector of the payload coordinate system was obtained. This vector was converted to the satellite body coordinate system and, subsequently, to the satellite orbit coordinate system. The conversion of the earth-fixed coordinate system and the mirror rotation angle under ideal CGMS grid conditions were obtained, and the mirror rotation angle was converted to the corresponding CGMS nominal grid position to complete data positioning. The algorithm omits the complex process of calculating the intersection point between the viewing vector and the geodetic ellipsoid sphere from the earth-fixed coordinate system, resulting in an 83.3% improvement in computational efficiency without compromising positioning accuracy compared with conventional geolocation methods. This algorithm greatly improves the processing efficiency of geostationary meteorological satellite positioning, but its limitation is that the data processing results must be released in the CGMS nominal grid format.
Keywords
Three-axis Stabilization; Geostationary orbit; Remote Sensing Satellite; Nominal Grid; Coordination Group for Meteorological Satellites; Rapid Geolocation Algorithm
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
