Version 1
: Received: 15 April 2024 / Approved: 15 April 2024 / Online: 15 April 2024 (10:58:41 CEST)
How to cite:
Yu, J.; Xing, L. N.; Song, Y. J.; Liu, Z. H. Two-Stage Multi-Satellite Scheduling Algorithm Based on Task Merging Mechanism. Preprints2024, 2024040953. https://doi.org/10.20944/preprints202404.0953.v1
Yu, J.; Xing, L. N.; Song, Y. J.; Liu, Z. H. Two-Stage Multi-Satellite Scheduling Algorithm Based on Task Merging Mechanism. Preprints 2024, 2024040953. https://doi.org/10.20944/preprints202404.0953.v1
Yu, J.; Xing, L. N.; Song, Y. J.; Liu, Z. H. Two-Stage Multi-Satellite Scheduling Algorithm Based on Task Merging Mechanism. Preprints2024, 2024040953. https://doi.org/10.20944/preprints202404.0953.v1
APA Style
Yu, J., Xing, L. N., Song, Y. J., & Liu, Z. H. (2024). Two-Stage Multi-Satellite Scheduling Algorithm Based on Task Merging Mechanism. Preprints. https://doi.org/10.20944/preprints202404.0953.v1
Chicago/Turabian Style
Yu, J., Yan Jie Song and Zhao Hui Liu. 2024 "Two-Stage Multi-Satellite Scheduling Algorithm Based on Task Merging Mechanism" Preprints. https://doi.org/10.20944/preprints202404.0953.v1
Abstract
Earth observation satellites can capture images of specific areas in Earth's orbit based on user requirements. Despite the high demand for satellite imagery, satellites remain a scarce resource. When there are many observation tasks that are large and dense, they may interfere with each other due to satellite mobility. To address this issue, a multi-satellite scheduling algorithm based on a task merging mechanism has been proposed. This paper proposes a two-stage approach to the problem: task merging phase and merging task scheduling phase. The task merging phase introduces two methods based on Mean Shift and Complete Graph to generate the merging task set. In the merging task scheduling phase, a multi-satellite scheduling algorithm based on merging tasks is employed to solve the problem. Finally, certain measurement experiments suggest the effectiveness of the algorithm.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
