ENGLISH

Super-Resolution for Remote Sensing

By M. Emre Celebi , Michal Kawulok , Jolanta Kawulok , Bogdan Smolka

Book information

Publisher
Springer
Year
2024
ISBN
9783031681059, 9783031681066
ASIN
B0D9J79Y84
Language
english
Format
PDF
Filesize
31 MB (32888124 bytes)
Series
Unsupervised and Semi-Supervised Learning
Pages
651\392
Time added
2024-10-22 09:44:37

Description

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.

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