Items related to Techniques and Applications of Hyperspectral Image...
Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
This book is about multivariate and hyperspectral imaging, not only on how to produce the images but on how to clean, transform, analyze and presnet them. The emphasis is on visualization of images, models and statistical diagnostics but some useful n umbers and equations are given where needed. The book is divided into two parts- the first chapters are about definitions, nomenclature and data analytical and visualization aspects, i.e. the definition of multivariate and hyperspectral images. They introduce nomenclature; insights into factor and component modeling used on the spectral information in the images; the concepts and models for regression modeling on hyperspectral images and multivariate image regression (MIR).
The final five applied chapters present a diverse catalog of things that can be done with hyperspectral images using different types of variables including:
- Multivariate movies in different variables, mainly optical, infrared, Raman and nuclear magnetic resonance.
- The DAECRA technique as it can be used on phantoms and brain images in magnetic resonance imaging.
- Agricultural and biological applications of optical multivariate and hyperspectral imaging.
- Brain studies using positron emission tomography (PET). PET images are extremely noisy and require special care.
- Chemical imaging using near infrared spectroscopy. Pharmaceutical granulate mixtures are the examples used.
This book is intended for both an audience new to multivariate image analysis as well as to those who are already using image analysis techniques. It is relevant to academic and industrial researchers in chemistry, biology and medical sciences.
About the Author
Paul Geladi received a Ph.D. in chemistry at the University of Antwerp in 1979. In 1990, he became associate professor at Umeå University, with interests in multivariate calibration, multivariate image analysis and multiway analysis. He was awarded the EAS award for Chemometrics in 2002. Currently he is head of research for NIRCE centered in Umeå and Vasa. Paul Geladi has coauthored about 90 scientific papers and some 20 book chapters and has given many invited lectures throughout Europe and North America. He was European editor of Journal of Chemometrics from 1989 - 1995, and has been review editor of the journal since 1999. He served as a member of the Editorial Board of Chemometrics and Intelligent Laboratory Systems from 1986 to 1991.
Hans F Grahn received his Ph.D. in Physical Organic Chemistry in 1986. Following several years of work abroad he began MRI studies in the laboratory of Dr Zeverenyi at SUNY Health Center, NY. At this time (1988) Hans also began to collaborate with Paul Geladi and the MIA (Multivariate Image Analysis) software for MRI multivariate images was written. In 1990 Hans received funding from the Swedish Natural Science Foundation for 2D NMR work at Umeå University. In 1991 he began a 3 year project at AstraZeneca. During this period he continued to collaborate with the pharmaceutical industry and the Karolinska Institute, where he received a position as a preclinical researcher and associate Professor at a new MRI -centre. Hans has more than 35 coauthored scientific papers and book chapters. He is now active as Business Developer in the Medical Imaging business and is also active in his own company.
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2007
- ISBN 10 047001086X
- ISBN 13 9780470010860
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages392
- EditorGrahn Hans, Geladi Paul
Search results for Techniques and Applications of Hyperspectral Image...
Stock Image
Techniques and Applications of Hyperspectral Image Analysis
Seller: killarneybooks, Inagh, CLARE, Ireland
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. 1st Edition. Hardcover, xxii + 368 pages, NOT ex-library. Book is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Boards show gentle handling wear. Issued without a dust jacket. -- A thorough exploration of the methodologies and applications of hyperspectral imaging, focusing on its increasing importance in scientific and industrial contexts. The book covers a wide range of techniques for capturing, processing, and interpreting hyperspectral data across various fields. It discusses advanced image analysis tools, the theory behind hyperspectral sensors, and the integration of spectral and spatial information. Applications span industries such as agriculture, geology, environmental monitoring, and remote sensing, demonstrating the versatility of hyperspectral imaging in practical scenarios. The text also highlights the technical challenges, emerging trends, and future potential of hyperspectral analysis, particularly in improving data accuracy and enabling more detailed, nuanced interpretations. With a balance between theoretical insights and real-world applications, this volume serves as a valuable resource for professionals and researchers working in fields requiring high-precision imaging techniques. Seller Inventory # 010826
Quantity: 1 available