Deep Learning for Hyperspectral Image Analysis and Classification (Engineering Applications of Computational Methods #5)
by Linmi Tao and Atif Mughees
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Fulfillment optionsDeep Learning for Hyperspectral Image Analysis and Classification (Engineering Applications of Computational Methods #5)
This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly.
This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are theoriginal contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.
The book, Deep Learning for Hyperspectral Image Analysis and Classification (Engineering Applications of Computational Methods #5) [Bulk, Wholesale, Quantity] ISBN#9789813344228 in Paperback by Linmi Tao, Atif Mughees may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Nature Singapore
- Authors
- Linmi Tao, Atif Mughees
- Format
- Paperback
- Published
- Feb 22, 2022
- ISBN-13
- 9789813344228
- Pages
- 207
- Printing
- Printed on demand
Deep Learning for Hyperspectral Image Analysis and Classification (Engineering Applications of Computational Methods #5) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $175.99 | 12% off list |
| 50 – 99 | $173.99 | 13% off list |
| 100+ | $171.99 | 14% off list |
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