Unsupervised Classification- Lab 9 Remote Sensing

Using the ERDAS program has become much easier since we just perform smaller tasks at a time. This particular approach has brought a greater understanding of the remote sensing part of the GIS learning process.     Unsupervised just means that the computer decides which shades match its sets of code.  This is a good first step. Our Image is the University of West Florida, Pensacola campus. But as my map shows, when the green grass shows up on top of the building there is either a "green" project or a problem lerking.  Here is was the problem.   A second attempt was made at the recoding, however, ERDAS was having a bad day and chose not to save either the codes or the changes as they were entered.  Rather than griping at the program, I chose to go with the first less accurate recoding effort.  The map has been recolored showing more orange for mixed zones.   The second pic is the first color coding which shows the school's feature's fairly well.

This one is the original computer colors, a pretty good contrast of pine forest vs. clearer campus area.
Had to remove this pic. It was causing posting errors. So sad, it looked pretty good.