Téléchargez le livre : Earth Observation Satellites

Earth Observation Satellites

Task Planning and Scheduling

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Éditeur :

Springer


Paru le : 2023-09-04



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Description

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.
Pages
189 pages
Collection
n.c
Parution
2023-09-04
Marque
Springer
EAN papier
9789819935642
EAN PDF
9789819935659
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
6984 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
105,49 €
EAN EPUB
9789819935659
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
26020 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
105,49 €

Hao Chen

Dr. Hao Chen is currently a professor at the National University of Defense Technology, China. His research interests include data mining, machine learning, and evolutionary computation. 

Shuang Peng

Dr. Shuang Peng is currently an assistant professor at the National University of Defense Technology, China. His research interests include satellite intelligent scheduling, machine learning, and evolutionary computation. 

Chun Du

Dr. Chun Du is currently an associate professor at the National University of Defense Technology, China. His research interests include machine learning, machine vision, and remote sensing.
 
Jun Li

Dr. Jun Li is currently a professor at the National University of Defense Technology, China. His research interests include management and analysis of big data, and spatial information system.

 


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