Hyperspectral Image Denoising With Dual Deep CNN

Hyperspectral Image Denoising With Dual Deep CNN

A new hyperspectral image denoising algorithm, called the dual deep convolutional neural network (DD-CNN), is proposed in this paper. In contrast to internal denoising methods that utilize only the features from the target noisy image, the DD-CNN extensively explores the similarities between the tar...

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Bibliographic Details
Main Authors: Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hyperspectral image denoising
deep dual neural network
feature learning
activation function
Online Access:https://ieeexplore.ieee.org/document/8913500/

Internet

https://ieeexplore.ieee.org/document/8913500/

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