Abstract
A remote sensing satellite is an earth observation satellite that acquires ground image information in space. It plays an important role in various areas such as resource surveying, environment monitoring and geological mapping. As the number of satellites increases, observation missions become more diverse and complicated as well as growing rapidly. Current implementations of remote sensing satellite observation missions still greatly depend on the ground operation control system. Multi-satellite and multi-function mission management, planning and uplink control also complicate the use of satellites by users. A key problem is how to improve the intelligence level and observation efficiency of on-orbit remote sensing satellites, while developing the overall efficiency of the satellite system for the convenience of users and also reducing the on-orbit operational cost. This article proposes an autonomous mission management strategy, which is based on the traditional mission management mode used by low-orbit remote sensing satellites. An implementation method for on-orbit mission rationality judgment, decoupling and instruction sequence generation is also established. This strategy aims to improve the intelligence level of remote sensing satellites and provide reference and guidance for future mission implementation of mission-oriented remote sensing satellites.
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References
Davies, A.G., Chien, S., Doggett, T., et al.: Improving mission survivability and science return with onboard autonomy. In: Proceedings of the 4th International Planetary Probe Workshop, Calary. CASI (2006)
Pang, X., Yu, B., Jiang, W.: The weekly task scheduling model and solving algorithm of imagining satellites. J. Nat. Univ. Defense Technol. 35, 44–51 (2013)
Kuchinskis, F.N., Ferreira, M.G.V.: Planning on-board satellites for the goal-based operations for space missions. IEEE Latin Am. Trans. 11(4), 1110–1120 (2013)
Tian, Z., Cui, X., Zheng, G., et al.: Remote sensing satellite autonomous command sequences generation based on digraph-model. Spacecraft Eng. 23(6), 54–60 (2014)
Thompson, D.R., Bornstein, B.J., Chien, S.A., et al.: Ausonomous spectral discovery and mapping onboard the EO-1 spacecraft. IEEE Trans. Geosci. Remote Sens. 51(6), 3567–3579 (2013)
He, R., Li, J., Yao, F., et al.: Models, algorithms and applications to the mission planning system of imaging satellites. Syst. Eng. 31, 411–422 (2011)
Walton, J.: Models for the management of satellite based sensors, Massachusetts Institute of Technology (1993)
Jeremin, P., Sylvain, J., Patxi, O.: Autonomous mission planning in space: mission benefit and real-time performance. In: Proceedings of the Embedded Real Time Software and Systems, Toulouse, Paris. CNES (2014)
Gabrel, V., Murat, C.: Mathematical programming for earth observation satellite mission planning. In: Ciriani, T.A., Fasano, G., Gliozzi, S., Tadei, R. (eds.) Operations Research in Space and Air Applied Optimization, vol. 79, pp. 10–122. Springer, Boston (2003). https://doi.org/10.1007/978-1-4757-3752-3_7
Lemaître, M., Verfaillie, G.: Selecting and scheduling observations of agile satellites. Aerosp. Sci. Technol. 6, 367–381 (2002)
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chao, L., Fang, R. (2019). Study on Autonomous Mission Management Method for Remote Sensing Satellites. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_42
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DOI: https://doi.org/10.1007/978-3-030-19153-5_42
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