Hyperspectral and multispectral data fusion: A comparative review of the recent literature
In recent years, enormous efforts have been made to design image-processing algorithms to
enhance the spatial resolution of hyperspectral (HS) imagery. One of the most commonly …
enhance the spatial resolution of hyperspectral (HS) imagery. One of the most commonly …
A review of spatial enhancement of hyperspectral remote sensing imaging techniques
Remote sensing technology has undeniable importance in various industrial applications,
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …
MHF-Net: An interpretable deep network for multispectral and hyperspectral image fusion
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 …
multispectral (HrMS) and a low-resolution hyperspectral (LrHS) images to generate a high …
Multispectral and hyperspectral image fusion by MS/HS fusion net
Hyperspectral imaging can help better understand the characteristics of different materials,
compared with traditional image systems. However, only high-resolution multispectral …
compared with traditional image systems. However, only high-resolution multispectral …
Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images
The denoising diffusion model has received increasing attention in the field of image
generation in recent years, thanks to its powerful generation capability. However, diffusion …
generation in recent years, thanks to its powerful generation capability. However, diffusion …
ADMM-HFNet: A matrix decomposition-based deep approach for hyperspectral image fusion
Hyperspectral image (HSI) fusion refers to the reconstruction of a high-resolution HSI by
fusing a low-resolution HSI (LR-HSI) and a high-resolution multispectral image (HR-MSI) …
fusing a low-resolution HSI (LR-HSI) and a high-resolution multispectral image (HR-MSI) …
Model-based fusion of multi-and hyperspectral images using PCA and wavelets
In remote sensing, due to cost and complexity issues, multispectral (MS) and hyperspectral
(HS) sensors have significantly lower spatial resolution than panchromatic (PAN) images …
(HS) sensors have significantly lower spatial resolution than panchromatic (PAN) images …
Unsupervised hyperspectral and multispectral image fusion with deep spectral-spatial collaborative constraint
The most cost-effective way to obtain a high spatial resolution hyperspectral image (HrHSI)
is to fuse a low spatial resolution hyperspectral image (LrHSI) and corresponding high …
is to fuse a low spatial resolution hyperspectral image (LrHSI) and corresponding high …
Increasing the Sentinel-2 potential for marine plastic litter monitoring through image fusion techniques
Abstract Sentinel-2 (S2) images have been used in several projects to detect large
accumulations of marine litter and plastic targets. Their limited spatial resolution though …
accumulations of marine litter and plastic targets. Their limited spatial resolution though …
Fsl-unet: Full-scale linked unet with spatial–spectral joint perceptual attention for hyperspectral and multispectral image fusion
X Wang, X Wang, K Zhao, X Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The application of hyperspectral image (HSI) is more and more extensive, but the lower
spatial resolution seriously affects its application effect. Using low-resolution HSI (LR-HSI) …
spatial resolution seriously affects its application effect. Using low-resolution HSI (LR-HSI) …