Hyperspectral Image Denoising via Adversarial Learning

Hyperspectral Image Denoising via Adversarial Learning

Due to sensor instability and atmospheric interference, hyperspectral images (HSIs) often suffer from different kinds of noise which degrade the performance of downstream tasks. Therefore, HSI denoising has become an essential part of HSI preprocessing. Traditional methods tend to tackle one specifi...

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Bibliographic Details
Main Authors:	Junjie Zhang, Zhouyin Cai, Fansheng Chen, Dan Zeng
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Remote Sensing
Subjects:	hyperspectral images image denoising adversarial learning mechanism residual learning
Online Access:	https://www.mdpi.com/2072-4292/14/8/1790

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