Revising the Observation Satellite Scheduling Problem Based on Deep Reinforcement Learning
Earth observation satellite task scheduling research plays a key role in space-based remote sensing services. An effective task scheduling strategy can maximize the utilization of satellite resources and obtain larger objective observation profits. In this paper, inspired by the success of deep rein...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2021-06-01
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| Series: | Remote Sensing |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2072-4292/13/12/2377 |
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