Integrated Earth Observation Satellite Scheduling Problems

Waiming ZhuDr. 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 HuProfessor 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 SunLecturer 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 XieRuida 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.

• 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.