I spent this morning considering how to quantify the accuracy of the NNDiffuse Pan Sharpening algorithm. I read and reread several scholarly articles in an attempt to understand how others have quantified the accuracy of sharpening techniques. Many of them used the difference of the spectral angles of the "ground truth" and the sharpened image (Ground truth is what is actually on the ground in the area depicted by the image). They also use the difference in Euclidean distance between two random points of the ground truth and the sharpened image. In order to determine ground truth, Dr. Vodecek suggested using synthetic imagery. This will allow me to accurately compare features of ground truth to those of the sharpened image.