Pan-sharpening is a fundamental and crucial task in the remote sensing image processing field, which generates a high-resolution multi-spectral image by fusing a low-resolution multi-spectral image ...

Abstract: Multi-sharpening consists in fusing a multispectral image with a hyperspectral one, to produce an unobservable image with the high spatial resolution of the former and the high spectral ...

Mid-infrared Spectroscopic Imaging (MIRSI) provides spatially-resolved molecular specificity by measuring wavelength-dependent mid-infrared absorbance. Infrared microscopes use large numerical ...

SMCET is a novel deep learning-based approach for pan-sharpening that enhances image quality through a Symmetric Multi-Scale Correction-Enhancement Transformer (SMCET) framework. Uses a meticulous ...