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Hyperspectral Imaging: Volume 32
Hyperspectral Imaging: Volume 32
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Hyperspectral Imaging

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Description

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.

Author Biography:

Dr. José Manuel Amigo obtained his PhD (Cum Laude) in Chemistry from the Autonomous University of Barcelona, Spain. Since 2007 he has been employed at the Department of Food Science of the University of Copenhagen, Denmark, as an associate professor. During 2017 he was a guest professor of the Federal University of Pernambuco, Brazil. Current research interests include hyperspectral and digital image analysis, food sciences, environmental modelling, curve resolution, and teaching chemometrics. He has authored more than 160 publications (115+ peer-reviewed papers, books, book chapters, proceedings, etc.) and given more than 60 conferences and courses at international meetings. Jose has supervised or is currently supervising several Masters, post-docs, and PhD students, and he is an editorial board member of four scientific journals (including Chemometrics and Intelligent Laboratory Systems and Analytica Chimica Acta). He received the “2014 Chemometrics and Intelligent Laboratory Systems Award” for his achievements in the field of Chemometrics.
Release date NZ
October 1st, 2019
Contributor
  • Volume editor Jose Manuel Amigo
Pages
800
Audience
  • Professional & Vocational
ISBN-13
9780444639776
Product ID
27447188

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