Super-Resolution for Remote Sensing E-Book

• Herausgeber: Springer Nature Switzerland
• Kategorie: Wissenschaft und neue Technologien
• Serie: Unsupervised and Semi-Supervised Learning
• Sprache: Englisch

Veröffentlichungsjahr: 2024

Beschreibung

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.