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Hyperspectral Image Analysis - Advances in Machine Learning and Signal Processing (Paperback, 1st ed. 2020)
Loot Price: R4,541
Discovery Miles 45 410
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Hyperspectral Image Analysis - Advances in Machine Learning and Signal Processing (Paperback, 1st ed. 2020)
Series: Advances in Computer Vision and Pattern Recognition
Expected to ship within 10 - 15 working days
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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.
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