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13 December 2024 Agent based intelligent decision support technology for Earth observation
Man Su, Ruijun Hu, Qiang Zhang
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Proceedings Volume 13492, AOPC 2024: Laser Technology and Applications; 134920E (2024) https://doi.org/10.1117/12.3046228
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China
Abstract
Space-based Earth observation systems play a significant role in national economic development and national defense security. To achieve all-weather, near real-time integrated observation services encompassing land, sea, air, and space, satellite mission planning systems are evolving towards intelligence and autonomy. This study constructs three typical space-based Earth observation intelligent agents. The intelligent agent models integrate deep learning and reinforcement learning algorithms, and their performance is validated through simulation using reward functions. This research proposes an intelligent agent-based decision support technology aimed at enhancing the efficiency and effectiveness of space-based Earth observation technology. Experimental results show that the intelligent agent-based decision support technology can effectively integrate multi-source observation data, respond quickly to user needs, provide high-quality decision support, and significantly improve the autonomy and intelligence level of satellite mission planning systems.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Man Su, Ruijun Hu, and Qiang Zhang "Agent based intelligent decision support technology for Earth observation", Proc. SPIE 13492, AOPC 2024: Laser Technology and Applications, 134920E (13 December 2024); https://doi.org/10.1117/12.3046228
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KEYWORDS
Satellites
Decision making
Deep learning
Meteorological satellites
Earth observing sensors
Machine learning
Target detection
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