  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.
