Star Identification: Methods, Techniques and Algorithms, (Paperback)
Star identification is the key step for celestial navigation and greatly improves the performance of star sensors.
Star Identification: Methods, Techniques and Algorithms, (Paperback)
vare #: 185711686

Star Identification: Methods, Techniques and Algorithms, (Paperback)

vare #: 185711686

NOK 2185

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Star identification is the key step for celestial navigation and greatly improves the performance of star sensors.
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Det som utmerker seg

Comprehensive Coverage
Offers a thorough exploration of various methods and algorithms for star identification, making it essential for astrophysics students and enthusiasts seeking to deepen their knowledge in this specialized field.
Expert Insights
Includes contributions from leading researchers, providing cutting-edge perspectives and techniques that differentiate it from competitors and enhance the reader's understanding of contemporary star identification challenges.
Practical Applications
Equips readers with real-world applications, guiding them in applying theoretical concepts to practical star identification scenarios, thus bridging the gap between theory and practice in astronomy.

Produkt detaljer

Shop Star Identification: Methods, Techniques and Algorithms, (Paperback) online at a best price in NORGE. 298873945
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateSeptember, 2018
Pages223
SubgenreAeronautics & Astronautics
Series titleNo Series
Editionsoftcover reprint of the original 1st 2017 Edition
PublisherSpringer
Original languagesEnglish
LanguageEnglish
Edu focusScience & Technology, Mathematics
Educational levelGeneral
Awards won1st prize in the National Science and Technology Awards in 2008, 2nd prize in the National Science and Technology Awards in 2006, 4th prize in the National Science and Technology Awards of 1997, National Science Fund for Distinguished Young Scholars in 2001, Changjiang Scholars Program Achievement Award in 2008
Is collectibleN
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.14 x 0.50 x 9.21 in (15.6 x 1.3 x 23.4 cm)
Assembled product weight0.74 lb (340 grams)
Bisac subject headingTechnology & Engineering

Hvem passer produktet for?

Suitable For
  • Astronomy Students

    Ideal for students studying astronomy or astrophysics, providing essential techniques for star identification and analysis.

  • Amateur Astronomers

    Perfect for hobbyists seeking to enhance their skills in identifying stars using algorithms and methods presented.

  • Data Scientists

    Useful for data scientists focusing on astronomical data, offering methodologies to process and analyze star identification tasks.

Not Suitable For
  • Casual Readers

    Not suitable for casual readers seeking light content as it delves deeply into technical methodologies and algorithms.

PRODUKTBESKRIVELSE

Star Identification: Methods, Techniques and Algorithms, (Paperback)

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Guangjun Zhang All Books Editorial Review

Star Identification: Methods, Techniques and Algorithms is a comprehensive paperback book published by Springer in September 2018. This non-fiction work spans 223 pages and is recognized in the Computing & Internet genre, specifically focusing on Aeronautics and Astronautics. It features a detailed examination of star identification processes with advanced methodologies and has received multiple awards, including a 1st prize at the National Science and Technology Awards in 2008. Readers will appreciate that it's educationally geared towards Science & Technology, making it suitable for general readers interested in mathematics and engineering.

Kundeanmeldelser og vurderinger

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Del tankene dine med andre kunder

Fordeler

  • Award-winning book with significant recognition
  • Detailed research on star identification
  • Perfect binding for durability
  • Softcover edition for easy handling
  • Approachable for general readers interested in science

Ulemper

  • Some readers may prefer a hardcover format

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