Hyperspectral Imaging (Volume 32) (Data Handling in Science and Technology, Volume 32) - Softcover

Softcover

ISBN 10: 0444639772 ISBN 13: 9780444639776

Publisher: Elsevier, 2019

Synopsis

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields.

• Provides a comprehensive roadmap of hyperspectral 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

About this title

About the Author

José Manuel Amigo Rubio obtained his PhD (Cum Laude) in chemistry from the Autonomous University of Barcelona, Spain. Since 2007 and until 2019, he has been employed at the Department of Food Science of the University of Copenhagen, Denmark. In 2019 he was appointed Ikerbasque Research Professor at the University of the Basque Country, Spain. Current research interests include hyperspectral and digital image analysis, and their implementation in food and forensic sciences and pharmaceutical production. He has authored more than 130 publications and given more than 50 conferences at international meetings. He is currently editorial board member of Journal of Spectral Imaging, Chemometrics and Intelligent Laboratory Systems, and Analytica Chimica Acta. Moreover, he received the “2014 Chemometrics and Intelligent Laboratory Systems Award and the “2019 Tomas Hirshfeld Award.

Edition details

• Publisher: Elsevier
• Publication date: 2019
• ISBN 10: 0444639772
• ISBN 13: 9780444639776
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 800
• Editor: Amigo Jose Manuel