2018
DOI: 10.3788/ope.20182601.0150
|View full text |Cite
|
Sign up to set email alerts
|

Optimize-by-priority on-orbit task real-time planning for agile imaging satellite

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…Yanjie Song [13] established a model to solve the problem of autonomous programming for the emergency missions of agile imaging satellites, but the model has a low task completion rate when the number of general tasks is large. Other studies have analyzed the task scheduling problem from the theoretical level, developed the scheduling framework, and proposed corresponding methods, but these algorithms have shortcomings of expensive computing, which is not suitable for small satellites [14][15][16][17][18][19]. In addition, so far, most studies only consider time-dependent constraints, while few consider the resource constraints and the dynamic characteristic of resources on the satellites [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Yanjie Song [13] established a model to solve the problem of autonomous programming for the emergency missions of agile imaging satellites, but the model has a low task completion rate when the number of general tasks is large. Other studies have analyzed the task scheduling problem from the theoretical level, developed the scheduling framework, and proposed corresponding methods, but these algorithms have shortcomings of expensive computing, which is not suitable for small satellites [14][15][16][17][18][19]. In addition, so far, most studies only consider time-dependent constraints, while few consider the resource constraints and the dynamic characteristic of resources on the satellites [20,21].…”
Section: Introductionmentioning
confidence: 99%