Main Super-Resolution for Remote Sensing

Super-Resolution for Remote Sensing

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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.
Request Code : ZLIBIO4403594
Categories:
Year:
2024
Publisher:
Springer
Language:
English
Pages:
651
ISBN 13:
9783031681066
ISBN:
9783031681059,9783031681066
Series:
Unsupervised and Semi-Supervised Learning

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