Deep Reinforcement Learning-Based Attention Decision Network for Agile Earth Observation Satellite Scheduling

Deep Reinforcement Learning-Based Attention Decision Network for Agile Earth Observation Satellite Scheduling

Agile Earth observation satellite scheduling is crucial for space-based remote-sensing services. The sharply rising demands and explosion of the solution space pose significant challenges to the optimization of observation task scheduling. To address this issue, we propose a deep reinforcement learn...

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Bibliographic Details
Main Authors: Dongning Liu, Guanghui Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
earth observation
scheduling
attention network
deep reinforcement learning
local search
Online Access:https://www.mdpi.com/2072-4292/16/23/4436

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https://www.mdpi.com/2072-4292/16/23/4436

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