Tensor decompositions for hyperspectral data processing in remote sensing: A comprehensive review
Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing
(RS) imaging has provided a significant amount of spatial and spectral information for the …
(RS) imaging has provided a significant amount of spatial and spectral information for the …
A survey on hyperspectral image restoration: From the view of low-rank tensor approximation
The ability to capture fine spectral discriminative information enables hyperspectral images
(HSIs) to observe, detect and identify objects with subtle spectral discrepancy. However, the …
(HSIs) to observe, detect and identify objects with subtle spectral discrepancy. However, the …
Zero-shot hyperspectral sharpening
Fusing hyperspectral images (HSIs) with multispectral images (MSIs) of higher spatial
resolution has become an effective way to sharpen HSIs. Recently, deep convolutional …
resolution has become an effective way to sharpen HSIs. Recently, deep convolutional …
Hyperspectral image super-resolution via deep spatiospectral attention convolutional neural networks
Hyperspectral images (HSIs) are of crucial importance in order to better understand features
from a large number of spectral channels. Restricted by its inner imaging mechanism, the …
from a large number of spectral channels. Restricted by its inner imaging mechanism, the …
PSRT: Pyramid shuffle-and-reshuffle transformer for multispectral and hyperspectral image fusion
A Transformer has received a lot of attention in computer vision. Because of global self-
attention, the computational complexity of Transformer is quadratic with the number of …
attention, the computational complexity of Transformer is quadratic with the number of …
GuidedNet: A general CNN fusion framework via high-resolution guidance for hyperspectral image super-resolution
Hyperspectral image super-resolution (HISR) is about fusing a low-resolution hyperspectral
image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to generate a high …
image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to generate a high …
Fusformer: A transformer-based fusion network for hyperspectral image super-resolution
Hyperspectral image super-resolution (HISR) is to fuse a low-resolution hyperspectral image
(LR-HSI) and a high-resolution multispectral image (HR-MSI), aiming to obtain a high …
(LR-HSI) and a high-resolution multispectral image (HR-MSI), aiming to obtain a high …
X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution
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 …
single-sensor imaging and provide desirable products with both high spatial and spectral …
Interactformer: Interactive transformer and CNN for hyperspectral image super-resolution
Due to rich spectral information, hyperspectral images (HSIs) have been widely used in
various fields. However, limited by imaging systems, the low spatial resolution of HSIs has …
various fields. However, limited by imaging systems, the low spatial resolution of HSIs has …
An iterative regularization method based on tensor subspace representation for hyperspectral image super-resolution
Hyperspectral image super-resolution (HSI-SR) can be achieved by fusing a paired
multispectral image (MSI) and hyperspectral image (HSI), which is a prevalent strategy. But …
multispectral image (MSI) and hyperspectral image (HSI), which is a prevalent strategy. But …