With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …

Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …

Single hyperspectral image (HSI) super-resolution (SR) methods using a auxiliary high-
resolution (HR) RGB image have achieved great progress recently. However, most existing …

Unsupervised band selection aims to select informative spectral bands to preprocess
hyperspectral images (HSIs) without using labels. Traditional band selection methods only …

Remote sensing technology has undeniable importance in various industrial applications,
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …

Hyperspectral image (HSI) super-resolution (SR) is a classical computer vision task that
aims to accomplish the conversion of images from lower to higher resolutions. With the …

To obtain a high-resolution hyperspectral image (HR-HSI), fusing a low-resolution
hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) is a …

Spectral super-resolution has attracted research attention recently, which aims to generate
hyperspectral images from RGB images. However, most of the existing spectral super …

In recent years, researchers have become more interested in hyperspectral image fusion
(HIF) as a potential alternative to expensive high-resolution hyperspectral imaging systems …

To address the limitations of hyperspectral imaging systems, super-resolution techniques
that fuse low-resolution hyperspectral image (HSI) with high-resolution multispectral image …