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J-GLOBAL ID:202402272620016746   Reference number:24A0248371

Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning

深層強化学習を用いた空間状況認識に対する地上ベースセンサの最適作業【JST・京大機械翻訳】
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Volume: 22  Issue: 20  Page: 7847  Publication year: 2022 
JST Material Number: U7015A  ISSN: 1424-8220  CODEN: SENSC9  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Space situational awareness (S...
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Graphic and image processing in general  ,  Measuring instruments in general 
Reference (32):
  • Weeden, B. US Policy and Capabilities on SSA. In Proceedings of the SSA Workshop: Perspectives on the Future Directions for Korea, Seoul, Korea, 24-25 January 2019.
  • Horstman, A. Enhancement of s/c Fragmentation and Environment Evolution Models; Final Report, Contract N. 4000115973/15/D/SR; Institute of Space System, Technische Universität Braunschweig: Braunschweig, Germany, 2020; Volume 26.
  • United States Strategic Command. Strategic Command Directive SD 505-1 Vol 2; Technical Report; United States Strategic Command: Omaha, NE, USA, 2004.
  • Erwin, R.S.; Albuquerque, P.; Jayaweera, S.K.; Hussein, I. Dynamic sensor tasking for space situational awareness. In Proceedings of the 2010 American Control Conference, Baltimore, MD, USA, 30 June-2 July 2010; pp. 1153-1158.
  • Williams, P.S.; Spencer, D.B.; Erwin, R.S. Coupling of estimation and sensor tasking applied to satellite tracking. J. Guid. Control Dyn. 2013, 36, 993-1007.
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