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TSLRLN: Tensor subspace low-rank learning with non-local prior for hyperspectral image mixed denoising.

C. He, L. Sun, W. Huang, J. Zhang, Y. Zheng, and B. Jeon. Signal Process., (2021)

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Ning He

Hongxia He

Chunmao He

Xiaowen He

Yunbin He

Other publications of authors with the same name

SLRL4D: Joint Restoration of Subspace Low-Rank Learning and Non-Local 4-D Transform Filtering for Hyperspectral Image.L. Sun, C. He, Y. Zheng, and S. Tang. Remote. Sens., 12 (18): 2979 (2020)Tensor Cascaded-Rank Minimization in Subspace: A Unified Regime for Hyperspectral Image Low-Level Vision.L. Sun, C. He, Y. Zheng, Z. Wu, and B. Jeon. IEEE Trans. Image Process., (2023)Hyperspectral Image Mixed Denoising Using Difference Continuity-Regularized Nonlocal Tensor Subspace Low-Rank Learning.L. Sun, and C. He. IEEE Geosci. Remote. Sens. Lett., (2022)Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing.L. Sun, F. Wu, C. He, T. Zhan, W. Liu, and D. Zhang. IEEE Geosci. Remote. Sens. Lett., (2022)Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple Kernel Learning Method for Hyperspectral Classification.L. Pan, C. He, Y. Xiang, and L. Sun. Remote. Sens., 13 (1): 50 (2021)Edge Computing-Enabled Resource Provisioning for Video Surveillance in Internet of Vehicles.X. Xu, Q. Wu, C. He, S. Wan, L. Qi, and H. Wang. iSCI, volume 1122 of Communications in Computer and Information Science, page 128-140. Springer, (2019)Weighted Order-p Tensor Nuclear Norm Minimization and Its Application to Hyperspectral Image Mixed Denoising.C. He, Q. Cao, Y. Xu, L. Sun, Z. Wu, and Z. Wei. IEEE Geosci. Remote. Sens. Lett., (2023)Spectral-Smoothness and Non-Local Self-Similarity Regularized Subspace Low-Rank Learning Method for Hyperspectral Mixed Denoising.W. Liu, C. He, and L. Sun. Remote. Sens., 13 (16): 3196 (2021)Joint Optimization of Offloading Utility and Privacy for Edge Computing Enabled IoT.X. Xu, C. He, Z. Xu, L. Qi, S. Wan, and M. Bhuiyan. IEEE Internet Things J., 7 (4): 2622-2629 (2020)Hyperspectral Target Detection: Learning Faithful Background Representations via Orthogonal Subspace-Guided Variational Autoencoder.Q. Tian, C. He, Y. Xu, Z. Wu, and Z. Wei. IEEE Trans. Geosci. Remote. Sens., (2024)

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Disambiguation of "He, Chengxun"

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TSLRLN: Tensor subspace low-rank learning with non-local prior for hyperspectral image mixed denoising.

Please choose a person to relate this publication to

Ning He

Hongxia He

Chunmao He

Xiaowen He

Yunbin He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Chengxun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML TSLRLN: Tensor subspace low-rank learning with non-local prior for hyperspectral image mixed denoising.

Please choose a person to relate this publication to

Ning He

Hongxia He

Chunmao He

Xiaowen He

Yunbin He

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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TSLRLN: Tensor subspace low-rank learning with non-local prior for hyperspectral image mixed denoising.