IESRGAN: Enhanced U-Net Structured Generative Adversarial Network for Remote Sensing Image Super-Resolution Reconstruction

IESRGAN: Enhanced U-Net Structured Generative Adversarial Network for Remote Sensing Image Super-Resolution Reconstruction

With the continuous development of modern remote sensing satellite technology, high-resolution (HR) remote sensing image data have gradually become widely used. However, due to the vastness of areas that need to be monitored and the difficulty in obtaining HR images, most monitoring projects still r...

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Bibliographic Details
Main Authors: Xiaohan Yue, Danfeng Liu, Liguo Wang, Jón Atli Benediktsson, Linghong Meng, Lei Deng
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
super-resolution reconstruction
remote sensing images
generative adversarial networks
Online Access:https://www.mdpi.com/2072-4292/15/14/3490

Internet

https://www.mdpi.com/2072-4292/15/14/3490

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