Multispectral image fusion based on map estimation with improved detail

Abstract

This paper presents a multispectral image fusion method for remote sensing applications by using an improved estimation of detail maps. This estimation is achieved by considering a linear combination of the other MultiSpectral (MS) bands as well as their joint multiplications. A comparison with seven existing methods is carried out based on three public domain datasets and by considering commonly used objective metrics. The results for both Reduced Resolution (RR) and Full Resolution (FR) cases are reported indicating that the introduced method generates improved fusion outcomes compared to the existing methods.