2023
DOI: 10.1108/aeat-12-2022-0336
|View full text |Cite
|
Sign up to set email alerts
|

Visible time window calculation based on map segmentation for task planning

Yue Wang,
Han Zhao,
Haiyue Yang
et al.

Abstract: Purpose The visible time window (VTW) calculation of satellites to ground targets is significant for Earth observation satellites' operation management and control. With the improvement of satellite maneuvering capability and the complexity of on-orbit observation tasks, the traditional VTW calculation methods can no longer meet the demands of satellite operation management and control due to a large amount of calculation and low efficiency. The purpose of this study is to propose a fast VTW calculation method… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 20 publications
(27 reference statements)
0
1
0
Order By: Relevance
“…Song et al [26] proposed a grid method, discretizing regional targets into a grid and traversing to identify covered grid moments. Wang et al [27] introduced a method based on map segmentation, traversing sub-points within a specific range by segmenting maps and trajectories. However, for large-scale payload systems in mission planning, the VTW is repeatedly invoked, and the emergence of regional targets also poses a challenge.…”
Section: Introductionmentioning
confidence: 99%
“…Song et al [26] proposed a grid method, discretizing regional targets into a grid and traversing to identify covered grid moments. Wang et al [27] introduced a method based on map segmentation, traversing sub-points within a specific range by segmenting maps and trajectories. However, for large-scale payload systems in mission planning, the VTW is repeatedly invoked, and the emergence of regional targets also poses a challenge.…”
Section: Introductionmentioning
confidence: 99%