Study and Analysis of Various Pan-Sharpening Techniques: A Challenging Overview

Abstract

Satellite sensors acquire massive data to exploit and address numerous human tasks. Due to the physical constraints, the usage of high spatial resolution multispectral (MS) images cannot be acquired by the unique devices. Hence, it is necessary to develop techniques by incorporating the images of MS and the panchromatic (PAN), also called Pan sharpening in remote sensing applications. Hence, this survey analyzes 30 research existing papers in Pan sharpening, which is based on various techniques, like neural network-based techniques, image fusion-based techniques, guided filterbased techniques, and optimization-based techniques. The analysis is based on the publication year of the research paper, research techniques employed, performance evaluation measures, and achievement of the research techniques. Also, the issues in the approaches are explained. Moreover, the future scope is to develop an efficient Pan sharpening technique based on the limitations recognized from the existing research Pan sharpening techniques.