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Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

1 Jun 2018WHUQZhang/HSID-CNN

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure to improve the performance of the subsequent HSI interpretation and applications.

HYPERSPECTRAL IMAGE DENOISING IMAGE DENOISING

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

10 Mar 2020Vandermode/QRNN3D

In this paper, we propose an alternating directional 3D quasi-recurrent neural network for hyperspectral image (HSI) denoising, which can effectively embed the domain knowledge -- structural spatio-spectral correlation and global correlation along spectrum.

HYPERSPECTRAL IMAGE DENOISING IMAGE DENOISING

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

11 Mar 2021LinaZhuang/FastHyDe_FastHyIn

This paper introduces two very fast and competitive hyperspectral image (HSI) restoration algorithms: fast hyperspectral denoising (FastHyDe), a denoising algorithm able to cope with Gaussian and Poissonian noise, and fast hyperspectral inpainting (FastHyIn), an inpainting algorithm to restore HSIs where some observations from known pixels in some known bands are missing.

HYPERSPECTRAL IMAGE DENOISING IMAGE DENOISING

Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations

12 Mar 2021LinaZhuang/RobustHyDenoiser-RhyDe-

Hyperspectral imaging measures the amount of electromagnetic energy across the instantaneous field of view at a very high resolution in hundreds or thousands of spectral channels.

ANOMALY DETECTION HYPERSPECTRAL IMAGE DENOISING IMAGE DENOISING