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Library of Congress Subject Headings
  • Language: en
  • Pages: 1880

Library of Congress Subject Headings

  • Type: Book
  • -
  • Published: 2004
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  • Publisher: Unknown

None

Library of Congress Subject Headings
  • Language: en
  • Pages: 1924
Library of Congress Subject Headings
  • Language: en
  • Pages: 1460
Library of Congress Subject Headings
  • Language: en
  • Pages: 1580
Artificial Satellites and How to Observe Them
  • Language: en

Artificial Satellites and How to Observe Them

  • Type: Book
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  • Published: 2012-07-05
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  • Publisher: Springer

Every amateur astronomer - and many non-astronomers - will be familiar with seeing a "star" that shows that characteristic steady slide across the starry background of the sky. Artificial satellites can be seen any night, and some as bright as the planets. But how many of us can identify which satellites or spent launch vehicle casing we are seeing? Artificial Satellites and How to Observe Them describes all the different satellites that can be observed without optical aid, including of course the International Space Station and the many spy satellites operated by different nations. Richard Schmude looks at them in detail and describes how they can be observed by amateurs, how to recognize t...

A-E
  • Language: en
  • Pages: 1548

A-E

  • Type: Book
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  • Published: 1990
  • -
  • Publisher: Unknown

None

Library of Congress Subject Headings: A-E
  • Language: en
  • Pages: 1468

Library of Congress Subject Headings: A-E

  • Type: Book
  • -
  • Published: 1989
  • -
  • Publisher: Unknown

None

Catalog of the Communications Library, University of Illinois, Urbana, Illinois
  • Language: en
  • Pages: 724
Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
  • Language: en
  • Pages: 283

Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation

  • Type: Book
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  • Published: 2021-09-14
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  • Publisher: IET

This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.