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 …
A review of remote sensing image fusion methods
H Ghassemian - Information Fusion, 2016 - Elsevier
The recent years have been marked by continuous improvements of remote sensors with
applications like monitoring and management of the environment, precision agriculture …
applications like monitoring and management of the environment, precision agriculture …
Interpretable hyperspectral artificial intelligence: When nonconvex modeling meets hyperspectral remote sensing
Hyperspectral (HS) imaging, also known as image spectrometry, is a landmark technique in
geoscience and remote sensing (RS). In the past decade, enormous efforts have been made …
geoscience and remote sensing (RS). In the past decade, enormous efforts have been made …
Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …
approaches with respect to the various research communities and provides a thorough and …
Hyperspectral pansharpening: A review
L Loncan, LB De Almeida… - … and remote sensing …, 2015 - ieeexplore.ieee.org
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate
an image with the high spatial resolution of the former and the high spectral resolution of the …
an image with the high spatial resolution of the former and the high spectral resolution of the …
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 …
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 …
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 …
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 …
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 …