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Super-resolution reconstruction of hyperspectral images via low rank
  tensor modeling and total variation regularization

Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization

23 January 2016
Shiying He
Haiwei Zhou
Yao Wang
Wenfei Cao
Zhi Han
ArXiv (abs)PDFHTML

Papers citing "Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization"

4 / 4 papers shown
Title
Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band
  Settings
Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings
Zhongyang Zhang
Zhiyang Xu
Zia U. Ahmed
Asif Salekin
Tauhidur Rahman
60
3
0
19 Mar 2021
Feedback Refined Local-Global Network for Super-Resolution of
  Hyperspectral Imagery
Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery
Zhenjie Tang
Qingyu Xu
Zhenwei Shi
Bin Pan
SupR
43
9
0
07 Mar 2021
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral
  Imagery
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Junjun Jiang
He Sun
Xianming Liu
Jiayi Ma
SupR
114
214
0
18 May 2020
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral
  Image Denoising and Compressed Sensing
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing
Jiangjun Peng
Qi Xie
Qian Zhao
Yao Wang
Deyu Meng
Yee Leung
40
12
0
18 Sep 2018
1