Pansharpening refers to the fusion of a monochrome image acquired by a broadband panchromatic instrument with a fine spatial resolution, and a multispectral image with a high spectral resolution. In this paper, we will focus on the classical pansharpening and, in particular, on methods belonging to the component substitution and the multi-resolution analysis classes. The optimization of these two main families of pansharpening techniques will be addressed.

This presentation is part of Minisymposium “MS49 - Image Restoration, Enhancement and Related Algorithms (4 parts)”
organized by: Weihong Guo (Case Western Reserve University) , Ke Chen (University of Liverpool) , Xue-Cheng Tai (Hong Kong Baptist University) , Guohui Song (Clarkson University) .

Authors:

Gemine Vivone (University of Salemo)

Luciano Alparone (University of Florence)

Andrea Garzelli (University of Siena)

Jocelyn Chanussot (Grenoble Institute of Technology)

Keywords:

component substitution, image enhancement, image fusion, multiresolution analysis, pansharpening, remote sensing