Techniques and Applications of Hyperspectral Image Analysis

Author： Hans Grahn  

Publisher： John Wiley & Sons Inc‎

Publication year： 2007

E-ISBN: 9780470010877

P-ISBN(Hardback):  9780470010860

Subject： TN911.73 Image signal processing

Language： ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

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.

Chapter

Contents

pp.：  1 – 7

Preface

pp.：  7 – 15

List of Contributors

pp.：  15 – 19

List of Abbreviations

pp.：  19 – 21

1 Multivariate Images, Hyperspectral Imaging: Background and Equipment

pp.：  21 – 25

2 Principles of Multivariate Image Analysis (MIA) in Remote Sensing, Technology and Industry

pp.：  25 – 41

3 Clustering and Classification in Multispectral Imaging for Quality Inspection of Postharvest Products

pp.：  41 – 67

4 Self-modeling Image Analysis with SIMPLISMA

pp.：  67 – 93

5 Multivariate Analysis of Spectral Images Composed of Count Data

pp.：  93 – 113

6 Hyperspectral Image Data Conditioning and Regression Analysis

pp.：  113 – 151

7 Principles of Image Cross-validation (ICV): Representative Segmentation of Image Data Structures

pp.：  151 – 179

8 Detection, Classification, and Quantification in Hyperspectral Images Using Classical Least Squares Models

pp.：  179 – 205

9 Calibration Standards and Image Calibration

pp.：  205 – 227

10 Multivariate Movies and their Applications in Pharmaceutical and Polymer Dissolution Studies

pp.：  227 – 245

11 Multivariate Image Analysis of Magnetic Resonance Images: Component Resolution with the Direct Exponential Curve Resolution Algorithm (DECRA)

pp.：  245 – 285

12 Hyperspectral Imaging Techniques: an Attractive Solution for the Analysis of Biological and Agricultural Materials

pp.：  285 – 313

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

pp.：  313 – 337

14 Near Infrared Chemical Imaging: Beyond the Pictures

pp.：  337 – 359

Index

pp.：  359 – 387

Plates

pp.：  387 – 393

LastPages

pp.：  393 – 402

The users who browse this book also browse