Onboard satellite visibility prediction using metamodeling based framework

Wang, Xinwei; Chen, Han; Yang, Pengbin; Sun, Xiucong

doi:10.1016/j.ast.2019.105377

Cited by 27 publications

(12 citation statements)

References 26 publications

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“…We observe that a longer horizon leads to more orbits, which provides a higher chance of generating more candidate observation missions and thus obtaining higher profits. A detailed computational procedure can be found in [52], where a rapid satellite-to-target access determination method is designed for generating candidate missions; the number of such missions is approximately linear in the horizon length. The profit growth declines for longer horizons, however.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage

Wang

Song

Leus

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

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Earth observation satellites (EOSs) are specially equipped with remote sensing instruments to acquire images. In practical EOS scheduling, the uncertainty of cloud coverage is inevitable. We are the first to address robust EOS scheduling under uncertainty due to cloud coverage where the objective function aims to maximize the entire observation profit. We provide a robust formulation of the scheduling problem on the basis of a budgeted uncertainty set, while preserving the formulation linearity. A columngeneration-based heuristic is also developed, in which the scheduling decisions in each satellite orbit are represented as columns. Eventually, a high-quality feasible solution is obtained using the generated columns. Extensive simulations are conducted on the basis of one of China's EOS constellations. The results indicate that the average optimality gap is less than 5%, which validates the performance of the proposed heuristic.

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Section: Sensitivity Analysismentioning

confidence: 99%

Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage

Wang

Song

Leus

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

Self Cite

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“…The calculation of VTW becomes even more difficult when users raise specific illumination and resolution requirements for the observation tasks. Detailed VTW computation procedures are referred to [29,30,31]. Meanwhile, an AEOS has to download data to a ground station, or use relay satellites to achieve this [32,33].…”

Section: Operational Constraintsmentioning

confidence: 99%

Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions

Wang,

Wu,

Xing

et al. 2020

Preprint

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Agile satellites with advanced attitude maneuvering capability are the new generation of Earth observation satellites (EOSs). The continuous improvement in satellite technology and decrease in launch cost have boosted the development of agile EOSs (AEOSs). To efficiently employ the increasing orbiting AEOSs, the AEOS scheduling problem (AEOSSP) aiming to maximize the entire observation profit while satisfying all complex operational constraints, has received much attention over the past 20 years. The objectives of this paper are thus to summarize current research on AEOSSP, identify main accomplishments and highlight potential future research directions. To this end, general definitions of AEOSSP with operational constraints are described initially, followed by its three typical variations including different definitions of observation profit, multi-objective function and autonomous model. A detailed literature review from 1997 up to 2019 is then presented in line with four different solution methods, i.e., exact method, heuristic, metaheuristic and machine learning. Finally, we discuss a number of topics worth pursuing in the future.

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“…To observe multiple ground targets, the EOS needs to conduct certain operations for the transfer between two consecutive observation tasks, such as attitude slewing and stabilization. Besides, the EOS can only perform imaging operations within a limited time window [4], [5] when it can pass a ground target and catch sight of the target. During the observation process, each ground target has different visible time windows for different EOSs.…”

Section: Introductionmentioning

confidence: 99%

Onboard satellite visibility prediction using metamodeling based framework

Cited by 27 publications

References 26 publications

Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage

Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage

Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions

Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-and-Conquer Framework for Multisatellite Observation Scheduling

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