A New Method of Mission Planning for Area Target Scanning by Multiple Earth Observing Satellites

被引：0
|
作者：
Han, Peng [1 ]
Deng, Qing [2 ]
Li, Chuanjiang [1 ]
Zhu, He [1 ]
机构：
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China
[2] Shanghai Inst Satellite Engn, Shanghai 201100, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
关键词：
Earth Observing Satellite; Mission planning; Area target; Target visibility extraction; Adaptive genetic algorithm; GRAPH;
D O I：
10.1109/cac48633.2019.8997375
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we proposed a new method for solving the problem of mission planning for large area target scanning by multiple Earth Observation Satellites. Firstly, based on a variety of physical constraints and specific mission constraints, the mission planning model is established. Then a simple and efficient area decomposition method is designed, by using this method and combining the physical constraints, the area target visibility extraction can be completed. Based on this method, the mission planning model can be simplified to an integer programming model. Then the adaptive genetic algorithm is designed to solve this model. Finally, the effectiveness and practicability of the proposed method are verified by simulation experiments.
引用
收藏
页码：1876 / 1881
页数：6
相关论文
共 50 条
  • [1] Model and algorithm to mission planning of agile earth observing satellites
    Yao, Feng
    Xing, Li-Ning
    He, Ren-Jie
    Chen, Ying-Wu
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2013, 19 (05): : 1035 - 1040
  • [2] Mission planning for distributed multiple agile Earth observing satellites by attention-based deep reinforcement learning method
    Li, Peiyan
    Wang, Huiquan
    Zhang, Yongxing
    Pan, Ruixue
    ADVANCES IN SPACE RESEARCH, 2024, 74 (05) : 2388 - 2404
  • [3] Planning and scheduling of Earth Observing Satellites
    Kaslow, David
    2007 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2007, : 4356 - 4367
  • [4] Mission Planning Method for Dense Area Target Observation Based on Clustering Agile Satellites
    Yu, Chuanyi
    Nie, Xin
    Chen, Yuan
    Chen, Yilin
    ELECTRONICS, 2024, 13 (21)
  • [5] Deep reinforcement learning-based autonomous mission planning method for high and low orbit multiple agile Earth observing satellites
    Wang, Xin
    Wu, Jian
    Shi, Zhong
    Zhao, Fanyu
    Jin, Zhonghe
    ADVANCES IN SPACE RESEARCH, 2022, 70 (11) : 3478 - 3493
  • [6] An Improved Simulated Annealing Method to the Multiple Satellites Mission Planning
    Wang, Peng
    Xing, Li-Ning
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (12A): : 5507 - 5514
  • [7] On the Use of Mission Value to Support the Design of Earth Observing Satellites
    Carr, Patrick M.
    Darcy, Steven M.
    MILITARY OPERATIONS RESEARCH, 2023, 28 (04) : 73 - 96
  • [8] Agile Earth Observing Satellites Mission Scheduling for Disaster and Environment Monitoring
    Sun Kai
    Chen YingWu
    Wang Pei
    RESEARCH JOURNAL OF CHEMISTRY AND ENVIRONMENT, 2012, 16 : 139 - 146
  • [9] Agile Earth Observing Satellites Mission Planning Using Genetic Algorithm Based on High Quality Initial Solutions
    Yuan, Zang
    Chen, Yingwu
    He, Renjie
    2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2014, : 603 - 609
  • [10] Research on Emergency Mission Planning of Earth Observation Satellites
    Guo, Chao
    Xiong, Wei
    Liu, Chengxiang
    2016 FIRST IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND THE INTERNET (ICCCI 2016), 2016, : 191 - 195
12345