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.
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