Recently, low-rank tensor regularization has received more and more attention in
hyperspectral and multispectral fusion (HMF). However, these methods often suffer from …

Integrating a low-spatial-resolution hyperspectral image (LR-HSI) with a high-spatial-
resolution multispectral image (HR-MSI) is recognized as a valid method for acquiring HR …

Fusing low-resolution (LR) hyperspectral images (HSIs) with high-resolution (HR)
multispectral images (MSIs) is a significant technology to enhance the resolution of HSIs …

Physical acquisition of high-resolution hyperspectral images (HR-HSI) has remained
difficult, despite its potential of resolving material-related ambiguities in vision applications …

In this paper, we develop a framelet representation of the three-directional log-based tensor
nuclear norm (F-3DLogTNN) for hyperspectral and multispectral image fusion (HSI-MSI …

Multispectral and hyperspectral image fusion (MS/HS fusion) aims to fuse a high-resolution
multispectral (HrMS) and a low-resolution hyperspectral (LrHS) images to generate a high …

Fusing a hyperspectral image (HSI) with a multispectral image (MSI) of the same scene has
become a popular way to increase the spatial resolution of HSI. In this paper, we propose a …

Fusion from a spatially low resolution hyperspectral image (LR-HSI) and a spectrally low
resolution multispectral image (MSI) to produce a high spatial-spectral HSI (HR-HSI), known …

Hyperspectral (HS) and multispectral (MS) image fusion is an important task to construct an
HS image with high spatial and spectral resolutions. In this paper, we present a novel HS …

Hyperspectral image (HSI) and multispectral image (MSI) fusion, denoted as HSI-MSI fusion,
involves merging a pair of HSI and MSI to generate a high spatial resolution HSI (HR-HSI) …