In recent years, we have witnessed significant development in the space sector, in particular
regarding Earth imaging. Small satellites, whose size and construction make their …

Image fusion aims at estimating a high-resolution spectral image from a low-spatial-
resolution hyperspectral image and a low-spectral-resolution multispectral image. In this …

Image fusion is a technique of combining two or more images into a single image which is
more informative from an interpretation point of view. With the rapid development of different …

Spectral image fusion techniques combine the detailed spatial information of a multispectral
(MS) image and the rich spectral information of a hyperspectral (HS) image into a high …

In the compressive spectral imaging (CSI) framework, different architectures have been
proposed to recover high-resolution spectral images from compressive measurements …

Spectral image classification uses the huge amount of information provided by spectral
images to identify objects in the scene of interest. In this sense, spectral images typically …

Obtaining a low-spatial-resolution hyperspectral image (HS) or low-spectral-resolution
multispectral (MS) image from a high-resolution (HR) spectral image is straightforward with …

Conventional urbanization transforms natural into paved landscapes, posing a significant
environmental challenge. Detecting the changes in (im) pervious surfaces in cities, where …

Snapshot-type polarization spectral imaging is a crucial dynamic high-speed target
detection method in remote sensing in space because it has a high temporal resolution …

This paper mentions the wide application of multispectral imaging technology in remote
sensing and its importance in different fields. This paper introduces the key functions of …