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Techniques and Applications of Hyperspectral Image Analysis

Techniques and Applications of Hyperspectral Image Analysis by Hans Grahn
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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.
Wiley; September 2007
402 pages; ISBN 9780470010877
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Title: Techniques and Applications of Hyperspectral Image Analysis
Author: Hans Grahn; Paul Geladi
 
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