Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network

Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network

The degradation of visual quality in remote sensing images caused by haze presents significant challenges in interpreting and extracting essential information. To effectively mitigate the impact of haze on image quality, we propose an unsupervised generative adversarial network specifically designed...

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Bibliographic Details
Main Authors:	Liquan Zhao, Yanjiang Yin, Tie Zhong, Yanfei Jia
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Sensors
Subjects:	remote sensing image dehazing unsupervised generating adversarial network multi-scale feature-extraction module attention module
Online Access:	https://www.mdpi.com/1424-8220/23/17/7484

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