The recent years have been marked by continuous improvements of remote sensors with
applications like monitoring and management of the environment, precision agriculture …

Pan-sharpening in remote sensing image fusion refers to obtaining multi-spectral images of
high-resolution by fusing panchromatic images and multi-spectral images of low-resolution …

Machine learning (ML) is influencing the literature in several research fields, often through
state-of-the-art approaches. In the past several years, ML has been explored for …

Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

Pansharpening aims to fuse low-resolution multi-spectral image and high-resolution
panchromatic (PAN) image to produce a high-resolution multi-spectral (HRMS) image. In …

The goal of pan-sharpening is to increase the spatial resolution of multispectral or
hyperspectral images using a high-spatial-resolution panchromatic image. The intensity-hue …

Recently, the compressed sensing (CS) theory has become an interesting topic for pan-
sharpening of multispectral images. The CS theory ensures that, under the sparsity …

The generative semantic nature of probabilistic topic models has recently shown
encouraging results within the remote sensing image fusion field when conducting land …

There is no such thing as 'the best image fusion method'in terms of both spectral and spatial
fidelity. This fact encourages the researchers to develop more advanced approaches in …

In this paper, we propose a compressive sensing-based method to pan-sharpen the low-
resolution multispectral (LRM) data, with the help of high-resolution panchromatic (HRP) …