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 …

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

Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low
spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and …

Limited by the existed imagery hardware, it is challenging to obtain a hyperspectral image
(HSI) with a high spatial resolution. Super-resolution (SR) focuses on the ways to enhance …

Hyperspectral images (HSIs) are crucial for many research works. Spectral super-resolution
(SSR) is a method used to obtain high-spatial-resolution (HR) HSIs from HR multispectral …

To obtain high-resolution hyperspectral data, spectral super-resolution is a popular
computational imaging technique directly from high-resolution multispectral images. Besides …

Hyperspectral videos (HSVs) play an important role in the monitoring domain, as they can
provide more information than red–green–blue (RGB) videos about the movement of …

High resolution (HR) hyperspectral (HS) images have found widespread applications in
terrestrial remote sensing applications, including vegetation monitoring, military surveillance …

Multispectral (MS) and hyperspectral (HS) images have been successfully and widely used
in remote sensing applications such as target detection, change detection, and anomaly …

NASA has been planning a hyperspectral infrared imager mission which will provide global
coverage using a hyperspectral imager with 60-m resolution. In some practical applications …