Home : Book details : Book description

Description of  Super-Resolution for Remote Sensing (Unsupervised and Semi-Supervised Learning)

3031681053 pdf 3031681053 pdf 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.