Techniques and Applications of Hyperspectral Image Analysis - Hardcover

Hardcover

ISBN 10: 047001086X ISBN 13: 9780470010860

Verlag: Wiley, 2007

Inhaltsangabe

This book is about multivariate and hyperspectral imaging, not only on how to produce the images but on how to clean, transform, analyze and presnet them. The emphasis is on visualization of images, models and statistical diagnostics but some useful n umbers and equations are given where needed. The book is divided into two parts- the first chapters are about definitions, nomenclature and data analytical and visualization aspects, i.e. the definition of multivariate and hyperspectral images. They introduce nomenclature; insights into factor and component modeling used on the spectral information in the images; the concepts and models for regression modeling on hyperspectral images and multivariate image regression (MIR).
 
The final five applied chapters present a diverse catalog of things that can be done with hyperspectral images using different types of variables including:
* Multivariate movies in different variables, mainly optical, infrared, Raman and nuclear magnetic resonance.
* The DAECRA technique as it can be used on phantoms and brain images in magnetic resonance imaging.
* Agricultural and biological applications of optical multivariate and hyperspectral imaging.
* Brain studies using positron emission tomography (PET). PET images are extremely noisy and require special care.
* Chemical imaging using near infrared spectroscopy. Pharmaceutical granulate mixtures are the examples used.
 
This book is intended for both an audience new to multivariate image analysis as well as to those who are already using image analysis techniques. It is relevant to academic and industrial researchers in chemistry, biology and medical sciences.

Über diesen Titel

Über die Autorin bzw. den Autor

Paul Geladi received a Ph.D. in chemistry at the University of Antwerp in 1979. In 1990, he became associate professor at Umeå University, with interests in multivariate calibration, multivariate image analysis and multiway analysis. He was awarded the EAS award for Chemometrics in 2002. Currently he is head of research for NIRCE centered in Umeå and Vasa. Paul Geladi has coauthored about 90 scientific papers and some 20 book chapters and has given many invited lectures throughout Europe and North America. He was European editor of Journal of Chemometrics from 1989 - 1995, and has been review editor of the journal since 1999. He served as a member of the Editorial Board of Chemometrics and Intelligent Laboratory Systems from 1986 to 1991.
 
Hans F Grahn received his Ph.D. in Physical Organic Chemistry in 1986. Following several years of work abroad he began MRI studies in the laboratory of Dr Zeverenyi at SUNY Health Center, NY. At this time (1988) Hans also began to collaborate with Paul Geladi and the MIA (Multivariate Image Analysis) software for MRI multivariate images was written. In 1990 Hans received funding from the Swedish Natural Science Foundation for 2D NMR work at Umeå University. In 1991 he began a 3 year project at AstraZeneca. During this period he continued to collaborate with the pharmaceutical industry and the Karolinska Institute, where he received a position as a preclinical researcher and associate Professor at a new MRI -centre. Hans has more than 35 coauthored scientific papers and book chapters. He is now active as Business Developer in the Medical Imaging business and is also active in his own company.

Von der hinteren Coverseite

This book is about multivariate and hyperspectral imaging, not only on how to produce the images but on how to clean, transform, analyze and presnet them. The emphasis is on visualization of images, models and statistical diagnostics but some useful n umbers and equations are given where needed. The book is divided into two parts- the first chapters are about definitions, nomenclature and data analytical and visualization aspects, i.e. the definition of multivariate and hyperspectral images. They introduce nomenclature; insights into factor and component modeling used on the spectral information in the images; the concepts and models for regression modeling on hyperspectral images and multivariate image regression (MIR).

The final five applied chapters present a diverse catalog of things that can be done with hyperspectral images using different types of variables including:

• Multivariate movies in different variables, mainly optical, infrared, Raman and nuclear magnetic resonance.
• The DAECRA technique as it can be used on phantoms and brain images in magnetic resonance imaging.
• Agricultural and biological applications of optical multivariate and hyperspectral imaging.
• Brain studies using positron emission tomography (PET). PET images are extremely noisy and require special care.
• Chemical imaging using near infrared spectroscopy. Pharmaceutical granulate mixtures are the examples used.

This book is intended for both an audience new to multivariate image analysis as well as to those who are already using image analysis techniques. It is relevant to academic and industrial researchers in chemistry, biology and medical sciences.

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2007
• Sprache: Englisch
• ISBN 10: 047001086X
• ISBN 13: 9780470010860
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 402
• Herausgeber: Grahn Hans, Geladi Paul
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland