Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Hyperspectral image super-resolution meets deep learning: A survey and perspective
Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
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 efficient unfolding network with disentangled spatial-spectral representation for hyperspectral image super-resolution
Hyperspectral image super-resolution (HSI SR) is dramatically impacted by high spectral
dimensionality, insufficient spatial resolution, and limited availability of training samples …
dimensionality, insufficient spatial resolution, and limited availability of training samples …
Dual-stage approach toward hyperspectral image super-resolution
Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution.
Without reducing the spectral resolution, improving the resolution in the spatial domain is a …
Without reducing the spectral resolution, improving the resolution in the spatial domain is a …
Variational regularization network with attentive deep prior for hyperspectral–multispectral image fusion
Hyperspectral–multispectral image (HSI-MSI) fusion relies on a robust degradation model
and data prior, where the former describes the degeneration of HSI in the spectral and …
and data prior, where the former describes the degeneration of HSI in the spectral and …
Unsupervised deep tensor network for hyperspectral–multispectral image fusion
Fusing low-resolution (LR) hyperspectral images (HSIs) with high-resolution (HR)
multispectral images (MSIs) is a significant technology to enhance the resolution of HSIs …
multispectral images (MSIs) is a significant technology to enhance the resolution of HSIs …
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images
T Tarasiewicz, J Nalepa, RA Farrugia… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Multispectral Sentinel-2 (S-2) images are a valuable source of Earth observation data;
however, spatial resolution of their spectral bands limited to 10-, 20-, and 60-m ground …
however, spatial resolution of their spectral bands limited to 10-, 20-, and 60-m ground …
Multiple frame splicing and degradation learning for hyperspectral imagery super-resolution
Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate
different remote sensing objects. However, the HSI spatial resolution is relatively low due to …
different remote sensing objects. However, the HSI spatial resolution is relatively low due to …
Attention-Enhanced Generative Adversarial Network for Hyperspectral Imagery Spatial Super-Resolution
B Wang, Y Zhang, Y Feng, B **e, S Mei - Remote Sensing, 2023 - mdpi.com
Hyperspectral imagery (HSI) with high spectral resolution contributes to better material
discrimination, while the spatial resolution limited by the sensor technique prevents it from …
discrimination, while the spatial resolution limited by the sensor technique prevents it from …