Full-resolution quality assessment for pansharpening

TL;DR

This paper introduces a new no-reference full-resolution quality assessment framework for pansharpening that addresses spectral and spatial consistency issues, overcoming limitations of existing evaluation methods.

Contribution

It proposes a novel assessment protocol and a new index for spatial consistency, enhancing the evaluation of pansharpening methods at full resolution.

Findings

Effective in assessing spectral and spatial quality

Outperforms existing indexes in experiments

Applicable across different datasets and sensors

Abstract

A reliable quality assessment procedure for pansharpening methods is of critical importance for the development of the related solutions. Unfortunately, the lack of ground-truths to be used as guidance for an objective evaluation has pushed the community to resort to two approaches which can also be jointly applied. Hence, two kinds of indexes can be found in the literature: i) reference-based reduced-resolution indexes aimed to assess the synthesis ability; ii) no-reference subjective quality indexes for full-resolution datasets aimed to assess spectral and spatial consistency. Both reference-based and no-reference indexes present critical shortcomings which motivate the community to explore new solutions. In this work, we propose an alternative no-reference full-resolution assessment framework. On one side we introduce a protocol, namely the reprojection protocol, to take care of the spectral consistency issue. On the other side, a new index of the spatial consistency between the pansharpened image and the panchromatic band at full resolution is also proposed. Experimental results carried out on different datasets/sensors demonstrate the effectiveness of the proposed approach.