"Hyperspectral Imaging: A Perspective on Recent Advances and Applications" ed. by Jung Huang
ITexLi | 2023 | ISBN: 1839690941 9781839690945 1839690933 9781839690938 1839691131 9781839691133 | 110 pages | PDF | 15 MB
ITexLi | 2023 | ISBN: 1839690941 9781839690945 1839690933 9781839690938 1839691131 9781839691133 | 110 pages | PDF | 15 MB
This book offers a glimpse of the status of machine- and deep-learning methodological development, seeking to meet the challenge of new hyperspectral imaging applications.
Preprocessing Hyperspectral Imaging data and objectively retrieving meaningful information from high-dimensional data cubes present a number of challenging issues.
Contents
1. Hyperspectral Imaging for the Analysis of Seafood
2. Useful Feature Extraction and Machine Learning Techniques for Identifying Unique Pattern Signatures Present in Hyperspectral Image Data
3. Unsupervised Deep Hyperspectral Image Super-Resolution
4. Hyperspectral and Multispectral Image Fusion Using Deep Convolutional Neural Network - ResNet Fusion
5. Magnetic Scattering with Polarised Soft X-rays
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