Hyperspectral Imaging: Edition 2

·
· Elsevier
Ebook
1190
Pages
Eligible
This book will become available on January 1, 2027. You will not be charged until it is released.

About this ebook

Hyperspectral Imaging, Second Edition builds on the foundational insights of the first edition, covering core analytical frameworks and introducing new algorithms, hardware technologies, and cutting-edge applications. By incorporating the latest research findings and case studies, sections provide readers with enhanced tools and techniques for effective hyperspectral and multispectral image analysis across diverse scientific, industrial, and field domains. The book also addresses evolving challenges and fresh opportunities in the field, ensuring that users are equipped with the most current knowledge and practices. It underscores the continued relevance and transformative potential of hyperspectral and multispectral imaging in contemporary research and industry.Graduate students, academics, early researchers, and 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, and more will find this update extremely useful. - Provides a comprehensive roadmap of hyperspectral and multispectral image analysis, including 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
Hyperspectral Imaging, Second Edition builds on the foundational insights of the first edition, covering core analytical frameworks and introducing new algorithms, hardware technologies, and cutting-edge applications. By incorporating the latest research findings and case studies, sections provid...

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About the author

Jose Manuel Amigo is a Research Professor at IKERBASQUE, the Basque Foundation for Sciences in Bilbao and a Distinguished Professor at the Department of Analytical Chemistry, University of Basque Country, Spain. He obtained his PhD (Cum Laude) in Chemistry from the Autonomous University of Barcelona, Spain. He was employed as a post-doctoral student (2007 – 2009) and an Associate Professor (2010 – 2019) at the Department of Food Science of the University of Copenhagen, Denmark. In 2017, he was at the same time a guest Professor at the Federal University of Pernambuco, Brazil. Current research interests include hyperspectral and digital image analysis and the application of Chemometrics (i.e. Machine and Deep Learning). He has authored over 180 publications (150+ peer-reviewed papers, books, book chapters, proceedings, etc.) and has given more than 60 conferences and courses at international meetings. Jose has supervised or is currently supervising several MSc, PhD and Post Docs, and he is an editorial board member of four scientific journals within chemometrics. Moreover, he received the “2014 Chemometrics and Intelligent Laboratory Systems Award for his achievements in the field of Chemometrics and the “2019 Tomas Hirschfeld Award for his achievements in the field of Near Infrared.

Giulia Gorla is a Postdoctoral Researcher at the Department of Analytical Chemistry, University of Basque Country, Spain. She earned her Bachelor's degree in Chemistry and Industrial Chemistry in 2018 at the University of Insubria, Italy. Subsequently, in 2019, she completed her Master's degree in Chemistry at the same university. In 2023, she achieved her Ph.D. in Chemical and Environmental Sciences, specializing in analytical chemistry, graduating with honors (Cum Laude) with a doctoral thesis titled " Infrared spectroscopy and Chemometrics: facing analytical chemistry issues through data." Since January 2024, she has embarked on her first postdoctoral contract at the Department of Analytical Chemistry at UPV/EHU, related to the HyperSort – Hyperspectral Optical Engine project. Her scientific interests encompass analysing spectroscopic data, hyperspectral imaging, and applying and developing chemometrics, including Machine Learning and Deep Learning techniques. With 14 publications as author, she has supervised 8 undergraduate theses in the Department of Science and High Technology at the University of Insubria and 3 master's theses.

Jose Manuel Amigo is a Research Professor at IKERBASQUE, the Basque Foundation for Sciences in Bilbao and a Distinguished Professor at the Department of Analytical Chemistry, University of Basque Country, Spain. He obtained his PhD (Cum Laude) in Chemistry from the Autonomous University of Barcel...

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