Pansharpening refers to the fusion of a multispectral (MS) image and panchromatic (PAN)
data aimed at generating an outcome with the same spatial resolution of the PAN data 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 …

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 …

Image fusion can be conducted at different levels, with pixel-level image fusion involving the
direct combination of original information from source images. The objective of methods …

Multispectral image (MSI) and hyperspectral image (HSI) fusion can combine the best of
both worlds to produce images with both high spatial and spectral resolutions. In this article …

Pansharpening usually refers to the fusion of a high spatial resolution panchromatic (PAN)
image with a higher spectral resolution but coarser spatial resolution multispectral (MS) …

The high spectral resolution of hyperspectral images (HSIs) generally comes at the expense
of low spatial resolution, which hinders the application of HSIs. Fusing an HSI and a …

Convolutional neural networks (CNNs) have recently achieved outstanding performance for
hyperspectral (HS) and multispectral (MS) image fusion. However, CNNs cannot explore the …

Different spectral, spatial, and temporal features have been widely used in the remote-
sensing image analysis. The further development of multiple sensor remote-sensing …

Earth observations from the Sentinel-2 mission have been extensively accepted in a variety
of land services. The thirteen spectral bands of Sentinel-2, however, are collected at three …