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 …

Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art

P Ghamisi, N Yokoya, J Li, W Liao, S Liu… - … and Remote Sensing …, 2017 - ieeexplore.ieee.org
Recent advances in airborne and spaceborne hyperspectral imaging technology have
provided end users with rich spectral, spatial, and temporal information. They have made a …

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 …

Decoupled-and-coupled networks: Self-supervised hyperspectral image super-resolution with subpixel fusion

D Hong, J Yao, C Li, D Meng, N Yokoya… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Enormous efforts have been recently made to super-resolve hyperspectral (HS) images with
the aid of high spatial resolution multispectral (MS) images. Most prior works usually perform …

Enhanced autoencoders with attention-embedded degradation learning for unsupervised hyperspectral image super-resolution

L Gao, J Li, K Zheng, X Jia - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Recently, unmixing-based networks have shown significant potential in unsupervised
multispectral-aided hyperspectral image super-resolution (MS-aided HS-SR) task …

Model-informed multi-stage unsupervised network for hyperspectral image super-resolution

J Li, K Zheng, L Gao, L Ni, M Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
By fusing a low-resolution hyperspectral image (LrMSI) with an auxiliary high-resolution
multispectral image (HrMSI), hyperspectral image super-resolution (HISR) can generate a …

X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution

J Li, K Zheng, Z Li, L Gao, X Jia - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral image super-resolution (HSI-SR) can compensate for the incompleteness of
single-sensor imaging and provide desirable products with both high spatial and spectral …

Zero-shot hyperspectral sharpening

R Dian, A Guo, S Li - IEEE Transactions on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Fusing hyperspectral images (HSIs) with multispectral images (MSIs) of higher spatial
resolution has become an effective way to sharpen HSIs. Recently, deep convolutional …

Model-guided coarse-to-fine fusion network for unsupervised hyperspectral image super-resolution

J Li, K Zheng, W Liu, Z Li, H Yu… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Fusing a low-resolution hyperspectral image (LrHSI) with an auxiliary high-resolution
multispectral image (HrMSI) is a burgeoning technique to realize hyperspectral image super …

Interpretable hyperspectral artificial intelligence: When nonconvex modeling meets hyperspectral remote sensing

D Hong, W He, N Yokoya, J Yao, L Gao… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Hyperspectral (HS) imaging, also known as image spectrometry, is a landmark technique in
geoscience and remote sensing (RS). In the past decade, enormous efforts have been made …