All image-sharpening programs have varying levels of accuracy, and different programs are appropriate for different scenarios. However, the determination of the accuracy of image sharpening programs is currently rather subjective. In this project, we hope to quantify the accuracy of one such program--NNDiffuse PAN Sharpening--by applying it to a synthetic image and comparing the results to the ground truth, or near-surface observations. This will allow us to develop a system that will quantify the accuracy of the NNDiffuse in a variety of situations. Once our study is complete, further research may then be conducted to determine the accuracy of other image sharpening programs and determine which software is the most appropriate for a given situation.