Super-Resolution for Remote Sensing (Unsupervised and Semi-Supervised Learning)
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BookPal × TalezoSuper-Resolution for Remote Sensing (Unsupervised and Semi-Supervised Learning)
This book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These are: evaluation procedures to assess the super-resolution quality; benchmark datasets (simulated and real-life); super-resolution for specific data modalities (e.g., panchromatic, multispectral, and hyperspectral images); single-image super-resolution, including generative adversarial networks; multi-image fusion (temporal and/or spectral); real-world super-resolution; and task-driven super-resolution. The book presents the results of several recent surveys on super-resolution specifically for the remote sensing community.
Details
- Publisher
- Springer Nature Switzerland
- Format
- Hardcover
- Published
- Oct 15, 2024
- ISBN-13
- 9783031681059
- Pages
- 384
- Printing
- Printed on demand
Super-Resolution for Remote Sensing (Unsupervised and Semi-Supervised Learning) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $114.39 | 12% off list |
| 50 – 99 | $113.09 | 13% off list |
| 100+ | $111.79 | 14% off list |
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