Low-rank and sparse representation for hyperspectral image processing: A review
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 …
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
Recent advances in airborne and spaceborne hyperspectral imaging technology have
provided end users with rich spectral, spatial, and temporal information. They have made a …
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 …
spotlight. The combination of high spatial resolution MS images with HS data showing a …
Local similarity-based spatial–spectral fusion hyperspectral image classification with deep CNN and Gabor filtering
Currently, the different deep neural network (DNN) learning approaches have done much for
the classification of hyperspectral images (HSIs), especially most of them use the …
the classification of hyperspectral images (HSIs), especially most of them use the …
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 …
Fusing hyperspectral and multispectral images via coupled sparse tensor factorization
Fusing a low spatial resolution hyperspectral image (LR-HSI) with a high spatial resolution
multispectral image (HR-MSI) to obtain a high spatial resolution hyperspectral image (HR …
multispectral image (HR-MSI) to obtain a high spatial resolution hyperspectral image (HR …
Regularizing hyperspectral and multispectral image fusion by CNN denoiser
Hyperspectral image (HSI) and multispectral image (MSI) fusion, which fuses a low-spatial-
resolution HSI (LR-HSI) with a higher resolution multispectral image (MSI), has become a …
resolution HSI (LR-HSI) with a higher resolution multispectral image (MSI), has become a …
Cross-scale mixing attention for multisource remote sensing data fusion and classification
Hyperspectral and multispectral images (HS/MS) fusion and classification as an important
branch of data quality improvement and interpretation have attracted increasing attention in …
branch of data quality improvement and interpretation have attracted increasing attention in …
Hyperspectral and multispectral data fusion: A comparative review of the recent literature
N Yokoya, C Grohnfeldt… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
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 …
Recent advances and new guidelines on hyperspectral and multispectral image fusion
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …