Super-Resolution for Remote Sensing
Author | : Michal Kawulok |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-10-23 |
ISBN-10 | : 3031681053 |
ISBN-13 | : 9783031681059 |
Rating | : 4/5 (53 Downloads) |
Book excerpt: 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.