Agile earth observation satellite scheduling over 20 years: Formulations, methods, and future directions
Agile satellites with advanced attitude maneuvering capability are the new generation of
earth observation satellites (EOSs). The continuous improvement in satellite technology and …
earth observation satellites (EOSs). The continuous improvement in satellite technology and …
Reward factor-based multiple agile satellites scheduling with energy and memory constraints
Earth observing satellites (EOS) orbit around the earth to perform observation tasks
specified by users. The additional maneuverability resulting from higher degrees of freedom …
specified by users. The additional maneuverability resulting from higher degrees of freedom …
Generalized model and deep reinforcement learning-based evolutionary method for multitype satellite observation scheduling
Multitype satellite observation, including optical observation satellites, synthetic aperture
radar (SAR) satellites, and electromagnetic satellites, has become an important direction in …
radar (SAR) satellites, and electromagnetic satellites, has become an important direction in …
Deep reinforcement learning and parameter transfer based approach for the multi-objective agile earth observation satellite scheduling problem
The agile earth observation satellite scheduling problem (AEOSSP) consists of selecting
and scheduling a number of tasks from a set of user requests in order to optimize one or …
and scheduling a number of tasks from a set of user requests in order to optimize one or …
[HTML][HTML] 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 …
sensing services. An effective task scheduling strategy can maximize the utilization of …
Multi-satellite cooperative scheduling method for large-scale tasks based on hybrid graph neural network and metaheuristic algorithm
X Feng, Y Li, M Xu - Advanced Engineering Informatics, 2024 - Elsevier
Traditional heuristic optimization algorithms are no longer applicable to the multiple
satellites scheduling with large-scale tasks, as they are unable to provide satisfactory …
satellites scheduling with large-scale tasks, as they are unable to provide satisfactory …
Continuous monitoring scheduling for moving targets by Earth observation satellites
X Han, M Yang, S Wang, T Chao - Aerospace Science and Technology, 2023 - Elsevier
The studies of earth observation satellite (EOS) scheduling for stationary targets have been
increasing rapidly in recent years. However, these studies ignore EOS scheduling for …
increasing rapidly in recent years. However, these studies ignore EOS scheduling for …
Robust scheduling for multiple agile Earth observation satellites under cloud coverage uncertainty
Agile satellites are the next generation of Earth observation satellites (EOSs) because they
can rotate on three axes while EOSs cannot. Due to this improvement, agile EOS scheduling …
can rotate on three axes while EOSs cannot. Due to this improvement, agile EOS scheduling …
Learning adaptive genetic algorithm for earth electromagnetic satellite scheduling
Earth electromagnetic exploration satellites are widely used in many fields due to their wide
detection range and high detection sensitivity. The complex environment and the …
detection range and high detection sensitivity. The complex environment and the …
General modeling and optimization technique for real-world earth observation satellite scheduling
Over the last two decades, many modeling and optimization techniques have been
developed for earth observation satellite (EOS) scheduling problems, but few of them show …
developed for earth observation satellite (EOS) scheduling problems, but few of them show …