Spectral Fidelity and Spatial Enhancement: An Assessment and Cascading of Pan-Sharpening Techniques for Satellite Imagery

TL;DR

This paper provides a comprehensive assessment of pan-sharpening techniques for satellite imagery, analyzing spectral fidelity and spatial enhancement, and introduces a structured evaluation framework to compare existing methods.

Contribution

It proposes a novel cascaded evaluation framework and offers a detailed comparative analysis of pan-sharpening algorithms, highlighting their trade-offs and practical implications.

Findings

Spectral accuracy around 88% achieved

Spatial resolution significantly enhanced

Trade-offs between spectral fidelity and spatial detail identified

Abstract

This research presents a comprehensive assessment of pan-sharpening techniques for satellite imagery, focusing on the critical aspects of spectral fidelity and spatial enhancement. Motivated by the need for informed algorithm selection in remote sensing, A novel cascaded and structured evaluation framework has been proposed with a detailed comparative analysis of existing methodologies. The research findings underscore the intricate trade-offs between spectral accuracy of about 88\% with spatial resolution enhancement. The research sheds light on the practical implications of pan-sharpening and emphasizes the significance of both spectral and spatial aspects in remote sensing applications. Various pan-sharpening algorithms were systematically employed to provide a holistic view of their performance, contributing to a deeper understanding of their capabilities and limitations.