Supervised Classification

The links posted below are for a map created using ERDAS IMAGINE 2010 software and the ground control points as part of the University of West Florida On-line Geographic Information Systems (GIS) Certification program class, Photo Interpretation and Remote Sensing (GIS4035/L). The links require Internet Explorer to open and display properly

Though the lab focused on a supervised classification, this module covers the different methods of classifying multispectral images into different patterns that represent clusters of statistically different sets of multiband data, which can be correlated into separable classes. The two main methods of classifying images are Unsupervised and Supervised Classification.

I found this lab more time consuming that expected.  I lost count of how many iterations were done to get to this point.  One thing that did work well for me was to create a flow chart for each of my steps and to take careful notes.  This ensured that precisely the same steps were taken for each class which intern created a MUCH more consistent set of results. Select .xps link below or .pdf map for a larger view. germantown_18d_classified.xps