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This book highlights the practical models and algorithms of earth observation satellite (EOS) task scheduling. EOS task scheduling is a typical complex combinatorial optimization problem with NP-Hard computational complexity. It is a key technology in aerospace scheduling and has attracted global attention. Based on the actual needs of the EOS operation control center, the book summarizes and reviews the state of the art in this research and engineering field. In both deterministic scenarios and dynamic scenarios, the book elaborates on the typical models, algorithms, and systems in centralized, distributed, and onboard autonomous task scheduling. The book also makes an outlook on the promising technologies for EOS task planning and scheduling in the future. It is a valuable reference for professionals, researchers, and students in satellite-related technology.
This book is a translation of an original Chinese edition. The translation was done with thehelp of artificial intelligence. A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
List of contents
1. Introduction.- 2. Problem description and analysis of EOS task scheduling.- 3. Model and method of ground centralized EOS task scheduling.- 4. EOS Task rescheduling for dynamic factors.- 5. Model and method of ground distributed EOS task scheduling.- 6. Model and method of EOS onboard autonomous task scheduling.- 7. Satellite task scheduling system.- 8. Summary and prospect.
About the author
Wei Xiong is a Professor at the National University of Defense Technology, China. His research areas include spatial databases, high-performance geographic information system, and apply artificial intelligence to solve geospatial problems. He has received research funding from the National Natural Science Foundation and the Ministry of Science and Technology. He was participated in the development of the spatial database BeyonDB and high-performance geographic information system HiGIS. He has won the second prize of the National Science and Technology Progress Award in 2020.
