These two images of the same area reflect two types of classification - the top one is Unsupervised, where ArcGIS classifies the land cover based on a selected number of land types, in this case 8. It creates its own signature first, then does the classification. As you can see, there are errors and overlaps in the land types, and it is not very accurate.
The second image shows a Supervised classification, where I created signatures for 5 different land cover types based on 30 points spread out to capture the land types most accurately, especially in the area of the Cahokia Monk's Mound. I also used only 5 classes. Clearly this was much more accurate and effective. The Unsupervised classification is a good starting point, but it is important to further refine that information for accuracy.
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