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Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising

  • Published:2018-03 Issue:3 Volume:11 Page:701-712
  • ISSN:1939-1404
  • Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • language:
  • Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Bai XiaoORCID,Xu Fan,Zhou LeiORCID,Xing Yan,Bai Lu,Zhou JunORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

State Key Lab of Software Development Environment, Beihang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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1. Tensor Methods in Biomedical Image Analysis;Journal of Medical Signals & Sensors;2024-06

2. Domain Transform Model Driven by Deep Learning for Anti-Noise Hyperspectral and Multispectral Image Fusion;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Hyperspectral image denoising via weighted double sparsity total variation and low-rank representation;Inverse Problems and Imaging;2024

4. An Efficient and Adaptive Reconstructive Homogeneous Block-Based Local Tensor Robust PCA for Feature Extraction of Hyperspectral Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
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