Techniques and Applications of Hyperspectral Image Analysis (eBook, PDF)
Redaktion: Grahn, Hans; Geladi, Paul
Alle Infos zum eBook verschenken
Techniques and Applications of Hyperspectral Image Analysis (eBook, PDF)
Redaktion: Grahn, Hans; Geladi, Paul
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Hier können Sie sich einloggen
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
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…mehr
- Geräte: PC
- mit Kopierschutz
- eBook Hilfe
- Größe: 20.41MB
- Chun LiDrug Delivery Applications of Noninvasive Imaging (eBook, PDF)154,99 €
- Colorimetry (eBook, PDF)158,99 €
- Joseph B. LambertNuclear Magnetic Resonance Spectroscopy (eBook, PDF)66,99 €
- Robin A. de GraafIn Vivo NMR Spectroscopy (eBook, PDF)120,99 €
- Andre S. MerbachThe Chemistry of Contrast Agents in Medical Magnetic Resonance Imaging (eBook, PDF)165,99 €
- Joachim Ohser3D Images of Materials Structures (eBook, PDF)156,99 €
- Roy S. BernsBillmeyer and Saltzman's Principles of Color Technology (eBook, PDF)129,99 €
-
-
-
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 390
- Erscheinungstermin: 27. September 2007
- Englisch
- ISBN-13: 9780470010877
- Artikelnr.: 37289517
- Verlag: John Wiley & Sons
- Seitenzahl: 390
- Erscheinungstermin: 27. September 2007
- Englisch
- ISBN-13: 9780470010877
- Artikelnr.: 37289517
Images, Hyperspectral Imaging: Background and Equipment (Paul L. M. Geladi,
Hans F. Grahn and James E. Burger). 2 Principles of Multivariate Image
Analysis (MIA) in Remote Sensing, Technology and Industry (Kim H. Esbensen
and Thorbjørn T. Lied). 3 Clustering and Classification in Multispectral
Imaging for Quality Inspection of Postharvest Products (Jacco C. Noordam
and Willie H. A. M. van den Broek). 4 Self-modeling Image Analysis with
SIMPLISMA (Willem Windig, Sharon Markel and Patrick M. Thompson). 5
Multivariate Analysis of Spectral Images Composed of Count Data (Michael R.
Keenan). 6 Hyperspectral Image Data Conditioning and Regression Analysis
(James E. Burger and Paul L. M. Geladi). 7 Principles of Image
Cross-validation (ICV): Representative Segmentation of Image Data
Structures (Kim H. Esbensen and Thorbjørn T. Lied). 8 Detection,
Classification, and Quantification in Hyperspectral Images Using Classical
Least Squares Models (Neal B. Gallagher). 9 Calibration Standards and Image
Calibration (Paul L. M. Geladi). 10 Multivariate Movies and their
Applications in Pharmaceutical and Polymer Dissolution Studies (Jaap van
der Weerd and Sergei G. Kazarian). 11 Multivariate Image Analysis of
Magnetic Resonance Images: Component Resolution with the Direct Exponential
Curve Resolution Algorithm (DECRA) (Brian Antalek, Willem Windig and Joseph
P. Hornak). 12 Hyperspectral Imaging Techniques: an Attractive Solution for
the Analysis of Biological and Agricultural Materials (Vincent Baeten, Juan
Antonio Fernández Pierna and Pierre Dardenne). 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 (Pasha Razifar and Mats Bergström). 14 Near Infrared Chemical
Imaging: Beyond the Pictures (E. Neil Lewis, Janie Dubois, Linda H. Kidder
and Kenneth S. Haber). Index.
Images, Hyperspectral Imaging: Background and Equipment (Paul L. M. Geladi,
Hans F. Grahn and James E. Burger). 2 Principles of Multivariate Image
Analysis (MIA) in Remote Sensing, Technology and Industry (Kim H. Esbensen
and Thorbjørn T. Lied). 3 Clustering and Classification in Multispectral
Imaging for Quality Inspection of Postharvest Products (Jacco C. Noordam
and Willie H. A. M. van den Broek). 4 Self-modeling Image Analysis with
SIMPLISMA (Willem Windig, Sharon Markel and Patrick M. Thompson). 5
Multivariate Analysis of Spectral Images Composed of Count Data (Michael R.
Keenan). 6 Hyperspectral Image Data Conditioning and Regression Analysis
(James E. Burger and Paul L. M. Geladi). 7 Principles of Image
Cross-validation (ICV): Representative Segmentation of Image Data
Structures (Kim H. Esbensen and Thorbjørn T. Lied). 8 Detection,
Classification, and Quantification in Hyperspectral Images Using Classical
Least Squares Models (Neal B. Gallagher). 9 Calibration Standards and Image
Calibration (Paul L. M. Geladi). 10 Multivariate Movies and their
Applications in Pharmaceutical and Polymer Dissolution Studies (Jaap van
der Weerd and Sergei G. Kazarian). 11 Multivariate Image Analysis of
Magnetic Resonance Images: Component Resolution with the Direct Exponential
Curve Resolution Algorithm (DECRA) (Brian Antalek, Willem Windig and Joseph
P. Hornak). 12 Hyperspectral Imaging Techniques: an Attractive Solution for
the Analysis of Biological and Agricultural Materials (Vincent Baeten, Juan
Antonio Fernández Pierna and Pierre Dardenne). 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 (Pasha Razifar and Mats Bergström). 14 Near Infrared Chemical
Imaging: Beyond the Pictures (E. Neil Lewis, Janie Dubois, Linda H. Kidder
and Kenneth S. Haber). Index.