Techniques and applications of hyperspectral image analysis
Hans Grahn, Paul Geladi
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.
კატეგორია:
წელი:
2007
გამომცემლობა:
J. Wiley
ენა:
english
გვერდები:
399
ISBN 10:
047001086X
ISBN 13:
9780470010860
ფაილი:
PDF, 31.43 MB
IPFS:
,
english, 2007