Super-Resolution for Remote Sensing (Unsupervised and Semi-Supervised Learning)
By: and and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- 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.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031681066
- Related ISBNs:
- 9783031681059
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 11/15/24
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Michal Kawulok
- Edited by:
- Jolanta Kawulok
- Edited by:
- Bogdan Smolka
- Edited by:
- M. Emre Celebi
Reviews
Other Books
- by Michal Kawulok
- by Jolanta Kawulok
- by Bogdan Smolka
- by M. Emre Celebi
- in Nonfiction
- in Computers and Internet
- in Technology
- in Communication