Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

Author:

He Wei,Zhang Hongyan,Zhang Liangpei,Shen Huanfeng

Funder

National Basic Research Program of China

863 Program

National Natural Science Foundation of China

Program for Changjiang Scholars and Innovative Research Team in University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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1. Hyperspectral image restoration using noise gradient and dual priors under mixed noise conditions;CAAI Transactions on Intelligence Technology;2024-08-19

2. Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior;Remote Sensing;2024-07-23

3. A Hierarchical Low-Rank Denoising Model for Remote Sensing Images Based on Deep Unfolding;Sensors;2024-07-15

4. Bi-Level Tensor Decomposition for Hyperspectral Image Restoration;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Hyperspectral Image Denoising Based on Nonlocal Memory-Augmented Spectral Attention;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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