Revising the Observation Satellite Scheduling Problem Based on Deep Reinforcement Learning

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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Bibliographic Details
Main Authors: Yixin Huang, Zhongcheng Mu, Shufan Wu, Benjie Cui, Yuxiao Duan
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
Earth observation satellite
task scheduling
graph clustering
DDPG
deep reinforcement learning
Online Access:https://www.mdpi.com/2072-4292/13/12/2377

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https://www.mdpi.com/2072-4292/13/12/2377

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