An object approach to the assessment of the spatial quality of pan-sharpened remote sensing images

Abstract

A correct assessment of pan-sharpened remote sensing imagery (fusion of panchromatic and multispectral images) enables the improvement and ranking of pan sharpening algorithms. For this purpose, numerous quality indicators have been published in the literature; however, there is no consensus on their performance. In general, the pixel is used as a reference for the computation of these indicators and the result is a unique overall value that hardly represents the perceived quality by a human.