An Unsupervised Remote Sensing Single-Image Super-Resolution Method Based on Generative Adversarial Network

An Unsupervised Remote Sensing Single-Image Super-Resolution Method Based on Generative Adversarial Network

Image super-resolution (SR) technique can improve the spatial resolution of images without upgrading the imaging system. As a result, SR promotes the development of high resolution (HR) remote sensing image applications. Many remote sensing image SR algorithms based on deep learning have been propos...

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Bibliographic Details
Main Authors: Ning Zhang, Yongcheng Wang, Xin Zhang, Dongdong Xu, Xiaodong Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image super-resolution
unsupervised learning
remote sensing
generative adversarial network
Online Access:https://ieeexplore.ieee.org/document/8986554/

Internet

https://ieeexplore.ieee.org/document/8986554/

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