Techniques and Applications of Hyperspectral Image Analysis (eBook)

Hans Grahn, Paul Geladi (Herausgeber)

eBook Download: PDF

2007 | 1. Auflage
390 Seiten
John Wiley & Sons (Verlag)
978-0-470-01087-7 (ISBN)

Infos

Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.

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.

Inhalt

Preface.

List of Contributors.

List of Abbreviations.

1 Multivariate Images, Hyperspectral Imaging: Background and
Equipment (Paul L. M. Geladi, Hans F. Grahn and James E.
Burger).

2 Principles of Multivariate Image Analysis (MIA) in Remote
Sensing, Technology and Industry (Kim H. Esbensen and
Thorbjørn T. Lied).

3 Clustering and Classification in Multispectral Imaging for
Quality Inspection of Postharvest Products (Jacco C. Noordam and
Willie H. A. M. van den Broek).

4 Self-modeling Image Analysis with SIMPLISMA (Willem Windig,
Sharon Markel and Patrick M. Thompson).

5 Multivariate Analysis of Spectral Images Composed of Count
Data (Michael R. Keenan).

6 Hyperspectral Image Data Conditioning and Regression Analysis
(James E. Burger and Paul L. M. Geladi).

7 Principles of Image Cross-validation (ICV): Representative
Segmentation of Image Data Structures (Kim H. Esbensen and
Thorbjørn T. Lied).

8 Detection, Classification, and Quantification in Hyperspectral
Images Using Classical Least Squares Models (Neal B.
Gallagher).

9 Calibration Standards and Image Calibration (Paul L. M.
Geladi).

10 Multivariate Movies and their Applications in Pharmaceutical
and Polymer Dissolution Studies (Jaap van der Weerd and Sergei
G. Kazarian).

11 Multivariate Image Analysis of Magnetic Resonance Images:
Component Resolution with the Direct Exponential Curve Resolution
Algorithm (DECRA) (Brian Antalek, Willem Windig and Joseph P.
Hornak).

12 Hyperspectral Imaging Techniques: an Attractive Solution for
the Analysis of Biological and Agricultural Materials (Vincent
Baeten, Juan Antonio Fernández Pierna and Pierre
Dardenne).

13 Application of Multivariate Image Analysis in Nuclear
Medicine: Principal Component Analysis (PCA) on Dynamic Human Brain
Studies with Positron Emission Tomography (PET) for Discrimination
of Areas of Disease at High Noise Levels (Pasha Razifar and Mats
Bergström).

14 Near Infrared Chemical Imaging: Beyond the Pictures (E.
Neil Lewis, Janie Dubois, Linda H. Kidder and Kenneth S.
Haber).

Index.

Produkt-Details

• Erscheint lt. Verlag: 27.9.2007
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Chemie ► Analytische Chemie
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Bildanalyse (EDV) • Bildgebende Systeme u. Verfahren • Chemie • Chemistry • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Imaging Systems & Technology • Medical Science • Medizin • Radiologie u. Bildgebende Verfahren • Radiology & Imaging • spectroscopy • Spektroskopie
• ISBN-10: 0-470-01087-8 / 0470010878
• ISBN-13: 978-0-470-01087-7 / 9780470010877