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Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

  • Published:2017-03 Issue:3 Volume:55 Page:1776-1792
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Qian YuntaoORCID,Xiong Fengchao,Zeng Shan,Zhou JunORCID,Tang Yuan Yan

Funder

National Natural Science Foundation of China

Research Grants of the University of Macau

Science and Technology Development Fund of Macau

Australian Research Councils DECRA Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 144 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mixing Support Detection-Based Alternating Direction Method of Multipliers for Sparse Hyperspectral Image Unmixing;Journal of Mathematical Imaging and Vision;2024-08-16

2. Tensor decomposition meets blind source separation;Signal Processing;2024-08

3. Decomposition of a Tensor into Multilinear Rank-\({(M_{{r}},N_{{r}},\cdot )}\) Terms;SIAM Journal on Matrix Analysis and Applications;2024-07-15

4. Robust Rank-Revealing Block-Term Decomposition and Hyperspectral Image Denoising;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Nonnegative low multi‐rank third‐order tensor approximation via transformation;Numerical Linear Algebra with Applications;2024-07-04
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