On-orbit attitude planning for Earth observation imaging with star-based geometric calibration
作者机构：Institute of Aerospace Science and Technology School of Remote Sensing and Information Engineering Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing School of Remote Sensing and Information Engineering Wuhan University National Key Laboratory of Air-based Information Perception and Fusion Intelligent Game and Decision Laboratory
出 版 物：《Science China Technological Sciences》 (中国科学:技术科学(英文版))
年 卷 期：2025年
核心收录：
学科分类：0810[工学-信息与通信工程] 08[工学] 081105[工学-导航、制导与控制] 0825[工学-航空宇航科学与技术] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程]
基 金：supported by the National Natural Science Foundation of China (Grant No. 61903278) the Aeronautical Science Foundation of China (Grant No. 202300010S5001) the Knowledge Innovation Program of Wuhan-Shuguang Project the Fundamental Research Funds for the Central Universities (Grant No. 2042022dx0001)
摘 要：To improve the quality of remote sensing images, a novel on-orbit attitude planning method for Earth observation imaging with star-based geometric calibration is presented in this study. Unlike traditional imaging processes, the proposed method includes both pre-calibration and post-calibration stages to enhance the accuracy of satellite geometric positioning. A multiple-constraint attitude planning algorithm was developed to ensure star-based calibration, wherein the satellite camera and star sensors simultaneously capture the images of stars. This integration of cameras and multiple star sensors enables effective attitude determination. During the Earth imaging stage, a fast on-orbit attitude planning algorithm was developed to determine the satellite attitude and the optimal imaging times for ground targets. Compared with existing methods, the fast on-orbit attitude planning algorithm can significantly reduce computational time and resource consumption via initial value selection and *** demonstrate the effectiveness of the proposed attitude planning method, which was successfully applied to Wuhan 1satellite.
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