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 …

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 …

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 …

By fusing a low-resolution hyperspectral image (LrMSI) with an auxiliary high-resolution
multispectral image (HrMSI), hyperspectral image super-resolution (HISR) can generate a …

Fusing hyperspectral images (HSIs) and multispectral images (MSIs) is an economic and
feasible way to obtain images with both high spectral resolution and spatial resolution. Due …

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 …

Fusing hyperspectral images (HSIs) with multispectral images (MSIs) of higher spatial
resolution has become an effective way to sharpen HSIs. Recently, deep convolutional …

Fusing a low-resolution hyperspectral image (LrHSI) with an auxiliary high-resolution
multispectral image (HrMSI) is a burgeoning technique to realize hyperspectral image super …

Pansharpening refers to the fusion of a low spatial-resolution multispectral image with a high
spatial-resolution panchromatic image. In this paper, we propose a novel low-rank tensor …

Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing
(RS) imaging has provided a significant amount of spatial and spectral information for the …