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Total Size:
6.7 MB
Info Hash:
C7DD5F31B4665CEE58601E7D15A332C2A5D0EC22
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Added:
April 20, 2026, 3:05 a.m.
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(Last updated: April 20, 2026, 3:08 a.m.)
| File | Size |
|---|---|
| Chen H. Earth Observation Satellites. Task Planning and Scheduling 2023.pdf | 6.7 MB |
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104.6 MB
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2023-12-08
| Uploaded by indexFroggy | Size 104.6 MB | Health [ 4 /1 ] | Added 2023-12-08 |
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80.2 MB
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2025-09-27
| Uploaded by andryold1 | Size 80.2 MB | Health [ 43 /30 ] | Added 2025-09-27 |
NOTE
SOURCE: Chen H. Earth Observation Satellites. Task Planning and Scheduling 2023
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COVER
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MEDIAINFO
Textbook in PDF format 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
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