Skip to main navigation Skip to search Skip to main content

Research Progress on Spacecraft Earth Observation Mission Planning Technology

  • Ming Xu
  • , Yabo Hao
  • , Xue Bai
  • , Rui Zhang
  • , Zhiqiang Hu
  • , Baowei Li
  • Beihang University
  • Shanghai Satellite Network Research Institute Co. ,Ltd.
  • Shanghai Key Laboratory of Satellite Network
  • Ltd.

Research output: Contribution to journalArticlepeer-review

Abstract

A systematic review is conducted on the research status and development trends of spacecraft Earth observation mission planning,aiming to ensure uniform task allocation and fuel/time efficiency during mission execution. Firstly,satellite Earth observation mission requirement planning technologies are introduced. Subsequently,modeling approaches and algorithms for spacecraft Earth observation mission planning are elaborated,with planning algorithms categorized into three groups:traditional optimization algorithms,intelligent optimization algorithms,and machine learning-based approaches. Detailed analyses are provided for different planning models and the three algorithm categories. Finally,development trends and future prospects for Earth observation mission planning technologies are discussed. Research in this domain provides theoretical foundations for engineering practices and technical support for applications including military surveillance,navigation planning,disaster management,and territorial mapping.

Original languageEnglish
Pages (from-to)1501-1518
Number of pages18
JournalYuhang Xuebao/Journal of Astronautics
Volume46
Issue number8
DOIs
StatePublished - 2025

Keywords

  • Agile satellite
  • Earth observation
  • Intelligent optimization algorithm
  • Machine learning
  • Mission planning

Fingerprint

Dive into the research topics of 'Research Progress on Spacecraft Earth Observation Mission Planning Technology'. Together they form a unique fingerprint.

Cite this