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Anotace knihy

Hyperspectral Imaging, Second Edition builds on the foundational insights of the first whilst reflecting the rapid advancements in hyperspectral and multispectral imaging technologies and methodologies in three directions: hardware, software, and applications. This heavily updated and expanded book not only covers the core analytical frameworks but also introduces new algorithms, hardware technology and cutting-edge applications that have emerged since the first edition. By incorporating the latest research findings and case studies, the contributions provide readers with enhanced tools and techniques for effective hyperspectral and multispectral image analysis across diverse scientific, industrial and field domains. Additionally, the book once again addresses evolving challenges and fresh opportunities in the field, ensuring that users are equipped with the most current knowledge and practices. This comprehensive update underscores the continued relevance and transformative potential of hyperspectral and multispectral imaging in contemporary research and industry. Hyperspectral Imaging, Second Edition is written for graduate students, academics and early researchers as well as industry scientists across various disciplines working with hyperspectral and multispectral images, including analytical chemistry, remote sensing, vegetation and crops, food and feed production, forensic sciences, biochemistry, medical imaging, pharmaceutical production, art studies, cultural heritage, among other topics.

• Provides a comprehensive roadmap of hyperspectral and multispectral image analysis, with benefits and considerations for each method discussed
• Covers state-of-the-art applications in different scientific fields
• Discusses the implementation of hyperspectral devices in different environments

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Chemistry Analytical chemistry

• Plný název: Hyperspectral Imaging
• Autor: Jose Manuel Amigo, Giulia Gorla
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 1190
• EAN: 9780443438929
• ISBN: 0443438927
• ID: 52500491
• Nakladatelství: Elsevier Science
• Rozměry: 229 × 152 mm
• Datum vydání: 01. January 2027

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