Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A dynamic planning method for satellite imaging mission based on improved genetic algorithm
Demin Zhao
Demin Zhao
Science and Technology on Complex Electronic System Simulation Laboratory, University of Aerospace Engineering
Beijing, China
DFH Satellite CO., Ltd
Beijing, China
Search for this author on
Sciendo
|
Google Scholar
Zhao, Demin
,
Wei Xiong
Wei Xiong
Science and Technology on Complex Electronic System Simulation Laboratory, University of Aerospace Engineering
Beijing, China
Search for this author on
Sciendo
|
Google Scholar
Xiong, Wei
and
Yiran Wang
Yiran Wang
DFH Satellite CO., Ltd
Beijing, China
Search for this author on
Sciendo
|
Google Scholar
Wang, Yiran
Jul 02, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jul 02, 2024
Received:
Feb 17, 2024
Accepted:
May 14, 2024
DOI:
https://doi.org/10.2478/amns-2024-1526
Keywords
Satellite imaging in motion
,
Imaging attitude
,
Imaging mission planning
,
Relative imaging moment
,
Adaptive genetic algorithm
© 2024 Demin Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
