techniques applications hyperspectral image (18 résultats)

Hardcover. Etat : 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.

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Hardcover. Etat : new. Hardcover. 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. 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 how high quality images of large data files can be structured and archived. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Etat : New.

Etat : New. 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 how high quality images of large data files can be structured and archived. Editor(s): Grahn, Hans; Geladi, Paul. Num Pages: 390 pages, black & white illustrations, colour illustrations, figures, graphs. BIC Classification: TTB. Category: (P) Professional & Vocational. Dimension: 157 x 235 x 27. Weight in Grams: 712. . 2007. 1st Edition. hardcover. . . . .

Hardcover. Etat : Brand New. 1st edition. 390 pages. 9.00x6.00x1.00 inches. In Stock.

Hardcover. Etat : new. Hardcover. 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. 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 how high quality images of large data files can be structured and archived. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardback. Etat : New. 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.

Etat : New. 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 how high quality images of large data files can be structured and archived. Editor(s): Grahn, Hans; Geladi, Paul. Num Pages: 390 pages, black & white illustrations, colour illustrations, figures, graphs. BIC Classification: TTB. Category: (P) Professional & Vocational. Dimension: 157 x 235 x 27. Weight in Grams: 712. . 2007. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Buch. Etat : Neu. Neuware - 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.

Hardback. Etat : New. 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.

Hardcover. Etat : new. Hardcover. 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. 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 how high quality images of large data files can be structured and archived. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.