The number of remote sensing satellites is increasing, and the types and number of payload are also increasing. User demand is also increasing, and satellite resources are still relatively tight. To study how to coordinate the joint observation of multiple satellites and multiple payloads, give full play to the overall observation benefits of remote sensing satellite resources, and meet the increasingly complex task requirements of various users, all available resources must be integrated. Realize the overall management of remote sensing satellite resources and task collaborative planning, and improve the ability of data acquisition and support through the effective integration of various resources. Research on intelligent task planning technology based on multi satellite and multi load. Through the research and construction of satellite and ground resource models, and standardized requirements and task models, the constraints of intelligent satellite task planning are realized, and the optimal scheduling under conventional planning is realized. Research and build the multi-objective optimization planning model of resource observation to improve the intelligence of task planning algorithm. Scientifically arrange satellite imaging and give full play to the efficiency of satellite use.


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    Title :

    Research on intelligent task planning technology based on multi-satellite and multi-payload


    Contributors:
    Na, Jing (editor) / He, Shuping (editor) / Zhuang, Chaoran (author) / Shi, Xiaojin (author) / Wang, Weishi (author) / Qian, Chengyuan (author) / Wang, Jingqiao (author)

    Conference:

    International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024) ; 2024 ; Yinchuan, China


    Published in:

    Proc. SPIE ; 13259 ; 132591I


    Publication date :

    2024-09-04





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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