Monday, May 31, 2021

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Hyperspectral Image Analysis PDF
By:Saurabh Prasad,Jocelyn Chanussot
Published on 2020-04-27 by Springer Nature

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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.

This Book was ranked at 25 by Google Books for keyword computer vision medical robotics.

Book ID of Hyperspectral Image Analysis's Books is bSXgDwAAQBAJ, Book which was written bySaurabh Prasad,Jocelyn Chanussothave ETAG "AkgupNnt6WI"

Book which was published by Springer Nature since 2020-04-27 have ISBNs, ISBN 13 Code is 9783030386177 and ISBN 10 Code is 3030386171

Reading Mode in Text Status is true and Reading Mode in Image Status is true

Book which have "466 Pages" is Printed at BOOK under CategoryComputers

Book was written in en

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