Hyperspectral Imaging Volume 32 1st Edition by Jose Manuel Amigo ISBN 9780444639776 0444639772

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ISBN 10: 0444639772
ISBN 13: 9780444639776
Author: Jose Manuel Amigo

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.

• Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed
• Covers state-of-the-art applications in different scientific fields
• Discusses the implementation of hyperspectral devices in different environments

Hyperspectral Imaging Volume 32 1st Edition Table of contents:

I. Introduction

1. Hyperspectral and Multispectral Imaging: Setting the Scene

2. Configuration of Hyperspectral and Multispectral Imaging Systems

II. Algorithms and Methods

3. Preprocessing of Hyperspectral and Multispectral Images

4. Hyperspectral Compression

5. Pansharpening

6. Unsupervised Exploration of Hyperspectral and Multispectral Images

7. Multivariate Curve Resolution for Hyperspectral Image Analysis

8. Nonlinear Spectral Unmixing

9. Variability of the Endmembers in Spectral Unmixing

10. An Overview of Regression Methods in Hyperspectral and Multispectral Imaging

11. Classical Least Squares for Detection and Classification

12. Supervised Classification Methods in Hyperspectral Imaging – Recent Advances

13. Fusion of Hyperspectral Imaging and LiDAR for Forest Monitoring

14. Hyperspectral Time Series Analysis: Interpreting Hyperspectral Image Data Streams

15. Statistical Biophysical Parameter Retrieval and Emulation with Gaussian Processes

III. Application Fields

16. Applications in Remote Sensing – Natural Landscapes

17. Applications in Remote Sensing – Anthropogenic Activities

18. Hyperspectral Imaging in Crop Fields: Precision Agriculture

19. Food and Feed Production

20. Hyperspectral Imaging for Food-Related Microbiology Applications

21. Hyperspectral Imaging in Medical Applications

22. Hyperspectral Imaging as Part of Pharmaceutical Product Design

23. Hyperspectral Imaging for Artworks Investigation

24. Growing Applications of Hyperspectral and Multispectral Imaging

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Tags: Jose Manuel Amigo, Hyperspectral Imaging