Semantic Description Driven Autonomous Mission Planning Method for QMX-1

WU Qianyu; WANG Mi; CHEN Junbo

doi:10.13203/j.whugis20220732

Volume 48 Issue 8

Aug. 2023

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Geomatics and Information Science of Wuhan University > 2023 > 48(8): 1264-1272. > DOI: 10.13203/j.whugis20220732

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

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Semantic Description Driven Autonomous Mission Planning Method for QMX-1

1.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

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Received Date: November 13, 2022
Available Online: August 02, 2023
Published Date: August 04, 2023

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Abstract

Abstract

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.
- semantic description,
- QMX-1,
- autonomous mission planning,
- global targets integration management

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