Hyperspectral Image Analysis is popular PDF and ePub book, written by Saurabh Prasad in 2020-04-27, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Hyperspectral Image Analysis can be Read Online from any device for your convenience.
Hyperspectral Image Analysis Book PDF Summary
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.
Detail Book of Hyperspectral Image Analysis PDF
- Author : Saurabh Prasad
- Release : 27 April 2020
- Publisher : Springer Nature
- ISBN : 9783030386177
- Genre : Computers
- Total Page : 464 pages
- Language : English
- PDF File Size : 8,5 Mb
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