WU Qianyu, WANG Mi, CHEN Junbo. Semantic Description Driven Autonomous Mission Planning Method for QMX-1[J]. Geomatics and Information Science of Wuhan University, 2023, 48(8): 1264-1272. DOI: 10.13203/j.whugis20220732
Citation: WU Qianyu, WANG Mi, CHEN Junbo. Semantic Description Driven Autonomous Mission Planning Method for QMX-1[J]. Geomatics and Information Science of Wuhan University, 2023, 48(8): 1264-1272. DOI: 10.13203/j.whugis20220732

Semantic Description Driven Autonomous Mission Planning Method for QMX-1

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  • Received Date: November 13, 2022
  • Available Online: August 02, 2023
  • Published Date: August 04, 2023
  •   Objectives  Satellite mission planning is an important way to rationally allocate satellite resources and obtain effective data. In order to solve the problem of resource waste in the absence of user demand for Qimingxing-1(QMX-1), we proposed a semantic description driven autonomous mission planning method for QMX-1.
      Methods  By analyzing the characteristics of earth observation targets and their requirements for remote sensing data, we have construct a semantic description model for global tasks and form a global earth observation target database. Based on the description model, we design a satellite autonomous mission planning method. By building a mission planning model, we can achieve autonomous planning for high-value targets and maximize the value of satellite in orbit applications.
      Results and Conclusions  We verifyed the proposed model based on the QMX-1 and proved the feasibility of the method in this paper. The model is applicable to different types of remote sensing satellites and can play a certain value in the future remote sensing constellation real-time intelligent service applications.
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