Abstract
The existence of cloud seriously influences the imaging quality and efficiency of traditional optical satellites, which can be overcome thanks to the enhancement of the mobility of the new generation of agile satellites. The problem of agile optical satellite scheduling considering real-time cloud information is therefore investigated. A two-phased scheduling framework, containing off-line scheduling on the ground and on-line rescheduling onboard, is proposed. An algorithm based on the ant colony algorithm is designed to solve this problem. An on-line re-scheduling algorithm based on confliction sliding strategy is proposed. A series of experiments are carried out to testify the effectiveness of the algorithm. The results show that almost 50 % of the satellite observation capacity is saved with consideration of real-time cloud information.
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