Integrated Earth Observation Satellite Scheduling Problems

Erscheinungsjahr 2026
ISBN: 978-3-032-28831-8
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 116 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: SpringerBriefs in Optimization

This book offers a comprehensive exploration of Integrated Earth Observation Satellite (EOS) Scheduling, a critical aspect of modern space infrastructure. As the number of satellites in orbit surpasses ten thousand, EOS plays an indispensable role in environmental monitoring, disaster response, and military reconnaissance. However, the challenge extends beyond launching these satellites; effective long-term in-orbit management is crucial for maximizing their utility.

The chapters delve into key concepts such as orbit dynamics, visibility geometry, and the intricacies of scheduling EOS tasks. Readers will encounter operations research-based models and innovative solution methods developed by the authors and their team. From classic scheduling problems to complex integrated scenarios involving target imaging and data transmission, this monograph presents a robust framework for tackling these challenges. The book also highlights future research directions, ensuring its relevance in the rapidly evolving space industry.

Ideal for researchers and engineers in operations research and EOS management, this monograph bridges the gap between theoretical models and practical applications.

Zielgruppe

Research

Autoren/Hrsg.

Zhu, Waiming

Hu, Xiaoxuan

Sun, Haiquan

Xie, Ruida

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geowissenschaften Geologie Geologie

Inhaltsverzeichnis

Preface.- Introduction to Earth Observation Satellite Scheduling Problems.- Orbital Dynamics and Visibility Geometry for EOS Scheduling.- A Classic Earth Observation Satellite Scheduling Problem.- Imaging and Transmission Integrated Problem.- Multiple-type Tasks Integrated Scheduling Problem.- Advances and Extensions in Integrated EOS Scheduling Problems.

Über Autor(innen)

Waiming Zhu

Dr. Waiming Zhu is a faculty member at Hefei University of Technology. His research focuses on integrating operations research, optimization, and artificial intelligence to address challenges in the operational management of aerospace infrastructures, such as satellites and drones. He has authored over 10 academic publications and been awarded more than 10 Chinese invention patents.

Xiaoxuan Hu

Professor and Ph.D. advisor at Hefei University of Technology, primarily engaged in research on system modeling and optimization, as well as aerospace system management. He has published over 70 academic papers in domestic and international journals and holds more than 100 authorized invention patents.

Haiquan Sun

Lecturer and Master’s Supervisor at Hefei University of Technology. His research interests focus on satellite resource optimization scheduling and intelligent mission planning. He has published more than 10 academic papers, obtained over 10 Chinese national invention patents, and holds 2 software copyrights.

Ruida Xie

Ruida Xie holds a Ph.D. from the University of New South Wales (UNSW). His research interests include off-Earth mining & Space Resource Utilisation (SRU), mission planning for On Orbit Service (OOS), etc. Particularly, he is interested in the application of artificial intelligence and big data in space sector.