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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 …
Decoupled-and-coupled networks: Self-supervised hyperspectral image super-resolution with subpixel fusion
Enormous efforts have been recently made to super-resolve hyperspectral (HS) images with
the aid of high spatial resolution multispectral (MS) images. Most prior works usually perform …
the aid of high spatial resolution multispectral (MS) images. Most prior works usually perform …
Enhanced autoencoders with attention-embedded degradation learning for unsupervised hyperspectral image super-resolution
Recently, unmixing-based networks have shown significant potential in unsupervised
multispectral-aided hyperspectral image super-resolution (MS-aided HS-SR) task …
multispectral-aided hyperspectral image super-resolution (MS-aided HS-SR) task …
Model-informed multi-stage unsupervised network for hyperspectral image super-resolution
By fusing a low-resolution hyperspectral image (LrMSI) with an auxiliary high-resolution
multispectral image (HrMSI), hyperspectral image super-resolution (HISR) can generate a …
multispectral image (HrMSI), hyperspectral image super-resolution (HISR) can generate a …
X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution
Hyperspectral image super-resolution (HSI-SR) can compensate for the incompleteness of
single-sensor imaging and provide desirable products with both high spatial and spectral …
single-sensor imaging and provide desirable products with both high spatial and spectral …
Zero-shot hyperspectral sharpening
Fusing hyperspectral images (HSIs) with multispectral images (MSIs) of higher spatial
resolution has become an effective way to sharpen HSIs. Recently, deep convolutional …
resolution has become an effective way to sharpen HSIs. Recently, deep convolutional …
Model-guided coarse-to-fine fusion network for unsupervised hyperspectral image super-resolution
Fusing a low-resolution hyperspectral image (LrHSI) with an auxiliary high-resolution
multispectral image (HrMSI) is a burgeoning technique to realize hyperspectral image super …
multispectral image (HrMSI) is a burgeoning technique to realize hyperspectral image super …
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 …