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Techniques and applications of hyperspectral image analysis [electronic resource] / [edited by] Hans F. Grahn and Paul Geladi.

Contributor(s): Grahn, Hans | Geladi, Paul.
Material type: TextTextPublisher: Chichester, England ; Hoboken, NJ : J. Wiley, c2007Description: 1 online resource (xxii, 368 p., [10] p. of plates) : ill. (some col.).ISBN: 9780470010877 (electronic bk.); 0470010878 (electronic bk.).Subject(s): Image processing -- Statistical methods | Multivariate analysis | Multispectral photography | Image Processing | Multispectral Photography | Multivariate Analysis | Statistical Methods | TECHNOLOGY & ENGINEERING -- Imaging SystemsGenre/Form: Electronic books.Additional physical formats: Print version:: Techniques and applications of hyperspectral image analysis.DDC classification: 621.36/7 Online resources: EBSCOhost
Contents:
Techniques and Applications of Hyperspectral Image Analysis; Contents; Preface; List of Contributors; List of Abbreviations; 1 Multivariate Images, Hyperspectral Imaging: Background and Equipment; 2 Principles of Multivariate Image Analysis (MIA) in Remote Sensing, Technology and Industry; 3 Clustering and Classification in Multispectral Imaging for Quality Inspection of Postharvest Products; 4 Self-modeling Image Analysis with SIMPLISMA; 5 Multivariate Analysis of Spectral Images Composed of Count Data; 6 Hyperspectral Image Data Conditioning and Regression Analysis
Summary: The book 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 h.
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Includes bibliographical references and index.

Description based on print version record.

Techniques and Applications of Hyperspectral Image Analysis; Contents; Preface; List of Contributors; List of Abbreviations; 1 Multivariate Images, Hyperspectral Imaging: Background and Equipment; 2 Principles of Multivariate Image Analysis (MIA) in Remote Sensing, Technology and Industry; 3 Clustering and Classification in Multispectral Imaging for Quality Inspection of Postharvest Products; 4 Self-modeling Image Analysis with SIMPLISMA; 5 Multivariate Analysis of Spectral Images Composed of Count Data; 6 Hyperspectral Image Data Conditioning and Regression Analysis

The book 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 h.

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