Algorithms For Multispectral And Hyperspectral Imagery
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Hyperspectral Image Analysis
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Author : Saurabh Prasad
language : en
Publisher: Springer
Release Date : 2020-06-09
Hyperspectral Image Analysis written by Saurabh Prasad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Computers categories.
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
Algorithms For Multispectral And Hyperspectral Imagery
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Author :
language : en
Publisher:
Release Date : 1998
Algorithms For Multispectral And Hyperspectral Imagery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computer algorithms categories.
Algorithms For Multispectral And Hyperspectral Imagery
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Author :
language : en
Publisher:
Release Date : 1999
Algorithms For Multispectral And Hyperspectral Imagery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computer algorithms categories.
Hyperspectral Imaging Remote Sensing
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Author : Dimitris G. Manolakis
language : en
Publisher: Cambridge University Press
Release Date : 2016-10-20
Hyperspectral Imaging Remote Sensing written by Dimitris G. Manolakis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-20 with Computers categories.
Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.
Algorithms For Multispectral Hyperspectral And Ultraspectral Imagery
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Author :
language : en
Publisher:
Release Date : 2001
Algorithms For Multispectral Hyperspectral And Ultraspectral Imagery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer algorithms categories.
Algorithms And Technologies For Multispectral Hyperspectral And Ultraspectral Imagery
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Author :
language : en
Publisher:
Release Date : 2007
Algorithms And Technologies For Multispectral Hyperspectral And Ultraspectral Imagery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computer algorithms categories.
The Future Of Hyperspectral Imaging
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Author : Stefano Selci
language : en
Publisher: MDPI
Release Date : 2019-11-20
The Future Of Hyperspectral Imaging written by Stefano Selci and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Science categories.
This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells and below, could be divided into two main categories: analyzing objects on the basis of their physical dimension (recording size, position, weight, etc. and their variations) or on how the object emits, reflects, or absorbs part of the electromagnetic spectrum, i.e., spectroscopy. While the two aspects have been obviously entangled, instruments and skills have always been clearly distinct from each other. With HSI now available, this is no longer the case. This instrument can return specimen dimensionalities and spectroscopic properties to any single pixel of your specimen, in a single set of data. HSI modality is ubiquitous and scale-invariant enough to be used to mark terrestrial resources on the basis of a land map obtained from satellite observation (actually, the oldest application of this type) or to understand if the cell you are looking at is cancerous or perfectly healthy. For all these reasons, HSI represents one of the most exciting methodologies of the new millennium.
Algorithms For Multispectral Hyperspectral And Ultraspectral Imagery
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Author :
language : en
Publisher:
Release Date : 2000
Algorithms For Multispectral Hyperspectral And Ultraspectral Imagery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computer algorithms categories.
Techniques And Applications Of Hyperspectral Image Analysis
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Author : Hans Grahn
language : en
Publisher: John Wiley & Sons
Release Date : 2007-09-27
Techniques And Applications Of Hyperspectral Image Analysis written by Hans Grahn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-27 with Science categories.
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.
Hyperspectral Imaging
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Author : Chein-I Chang
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-07-31
Hyperspectral Imaging written by Chein-I Chang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.
"Hyperspectral imaging is an emerging technique in remote sensing data processing that expands and improves the capability of multispectral image analysis. It takes advantage of hundreds of contiguous spectral channels to uncover materials that usually cannot be resolved by multispectral sensors. This book is an outgrowth of my research in hyperspectral image processing and personal communications in response to many people who are interested in my work previously published in various journals. ... A significant difference from other books is that this book explores applications of statistical signal processing techniques in hyperspectral image analysis, specifically, subpixel detection and mixed pixel classification."--Preface.