Low-rank and sparse representation for hyperspectral image processing: A review

J Peng, W Sun, HC Li, W Li, X Meng… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Combining rich spectral and spatial information, a hyperspectral image (HSI) can provide a
more comprehensive characterization of the Earth's surface. To better exploit HSIs, a large …

Recent advances and new guidelines on hyperspectral and multispectral image fusion

R Dian, S Li, B Sun, A Guo - Information Fusion, 2021 - Elsevier
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …

Multispectral and hyperspectral image fusion in remote sensing: A survey

G Vivone - Information Fusion, 2023 - Elsevier
The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the
spotlight. The combination of high spatial resolution MS images with HS data showing a …

Fusing hyperspectral and multispectral images via coupled sparse tensor factorization

S Li, R Dian, L Fang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Fusing a low spatial resolution hyperspectral image (LR-HSI) with a high spatial resolution
multispectral image (HR-MSI) to obtain a high spatial resolution hyperspectral image (HR …

Regularizing hyperspectral and multispectral image fusion by CNN denoiser

R Dian, S Li, X Kang - … on neural networks and learning systems, 2020 - ieeexplore.ieee.org
Hyperspectral image (HSI) and multispectral image (MSI) fusion, which fuses a low-spatial-
resolution HSI (LR-HSI) with a higher resolution multispectral image (MSI), has become a …

Learning a low tensor-train rank representation for hyperspectral image super-resolution

R Dian, S Li, L Fang - … on neural networks and learning systems, 2019 - ieeexplore.ieee.org
Hyperspectral images (HSIs) with high spectral resolution only have the low spatial
resolution. On the contrary, multispectral images (MSIs) with much lower spectral resolution …

Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution

J Xue, YQ Zhao, Y Bu, W Liao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Hyperspectral image super-resolution by fusing high-resolution multispectral image (HR-
MSI) and low-resolution hyperspectral image (LR-HSI) aims at reconstructing high resolution …

Deep hyperspectral image sharpening

R Dian, S Li, A Guo, L Fang - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
Hyperspectral image (HSI) sharpening, which aims at fusing an observable low spatial
resolution (LR) HSI (LR-HSI) with a high spatial resolution (HR) multispectral image (HR …

Hyperspectral image super-resolution via subspace-based low tensor multi-rank regularization

R Dian, S Li - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Recently, combining a low spatial resolution hyperspectral image (LR-HSI) with a high
spatial resolution multispectral image (HR-MSI) into an HR-HSI has become a popular …

Hyperspectral super-resolution: A coupled tensor factorization approach

CI Kanatsoulis, X Fu, ND Sidiropoulos… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Hyperspectral super-resolution refers to the problem of fusing a hyperspectral image (HSI)
and a multispectral image (MSI) to produce a super-resolution image (SRI) that admits fine …