Research on Joint Scheduling of Multiple Imaging Satellites with Multiple Sensors

Abstract:

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Guided by the application requirements of imaging satellite, this work focuses on the model construction and heuristic rule design to the joint scheduling problem of multi imaging satellites. It analyses the imaging procedure, imaging constraints, inputs and outputs, the basic scheduling flow and characteristics of the joint scheduling problem of multi imaging satellites. The heuristic algorithm was proposed to effectively solve this problem. Finally, a multi imaging satellites scheduling system is developed.

Info:

Periodical:

Edited by:

Wenya Tian and Linli Xu

Pages:

616-620

DOI:

10.4028/www.scientific.net/AMR.186.616

Citation:

Y. Feng et al., "Research on Joint Scheduling of Multiple Imaging Satellites with Multiple Sensors", Advanced Materials Research, Vol. 186, pp. 616-620, 2011

Online since:

January 2011

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$35.00

[1] Jorge A. Baier, Sheila A. McIlraith. Planning with Preferences [J]. AI MAGAZINE, 2008, WINTER: 25-32.

DOI: 10.1609/aimag.v29i4.2204

[2] MT Jensen. Generating Robust and Flexible Job Shop Schedules Using Genetic Algorithms [J]. IEEE Transactions on Evolutionary Computation, 2003, 7 (3): 275-288.

DOI: 10.1109/tevc.2003.810067

[3] Wang JM, Tan YJ, Li JF. Study on Heuristic Algorithm for Dynamic Scheduling Problem of Earth Observing Satellites [C]. The Eighth International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel / Distributed Computing. Qingdao: (2007).

DOI: 10.1109/snpd.2007.128

[4] He RJ. Research on Imaging Reconnaissance Satellite Scheduling Problem [D]. Changsha: National University of Defense Technology, (2004).

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