【摘要】 EOSs(Earth Observation Satellites)围绕着地球对成像任务进行拍摄,为了充分有效的利用卫星资源,最大限度的满足成像任务需求,需要进行EOSs联合成像调度。EOSs联合成像调度是一个复杂的多目标组合优化问题。本文通过对卫星成像约束条件的抽象,建立联合成像调度的数学模型,在此基础上设计了多目标EOSs联合成像调度算法,并根据实际的应用问题进行实验和结果分析,表明该方法有效的解决了多目标条件下EOSs联合成像调度问题。更多还原

【Abstract】 The EOSs(Earth Observing Satellites) circle the earth to take shots which are requested by users.To make replete use of the resource of EOSs,it is required to deal with the problem of uniting imaging scheduling of EOSs,which is a complicated multiobjective combinatorial optimization problem.In this paper,we constructed a mathematical model for the problem by abstracting the imaging constraints of different EOSs.Basing on the model,we proposed an algorithm for uniting imaging scheduling of EOSs on the multiobjective condition.At the end of the paper we carried out some experiments upon real application problems and analyzed the results.It is confirmed that the approach is effective in solving the multiobjective uniting imaging scheduling problem of EOSs.更多还原