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).