Deep Tensor Attention Prior Network for Hyperspectral Image Denoising

Deep Tensor Attention Prior Network for Hyperspectral Image Denoising

Hyperspectral imaging techniques can generate continuous narrowband images with a high spectral resolution. However, owing to environmental disturbances, atmospheric effects, and hardware limitations of hyperspectral imaging sensors, captured hyperspectral images (HSIs) often contain complex noises...

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Bibliographic Details
Main Authors: Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention module
deep prior
hyperspectral image (HSI) denoising
tensor decomposition
Online Access:https://ieeexplore.ieee.org/document/10179990/

Internet

https://ieeexplore.ieee.org/document/10179990/

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