Module 10 Lab: Supervised Classification

Above is a supervised classification of Germantown, Maryland generated using
ERDAS Imagine supervised classification.  The map was ultimate composed in
ArcMap.

1.      I used the seed polygon method to generate the signature polygons.  A distance threshold value of approximately 25-50 was generally used.  In cases when only one class was created and the class was relatively obvious, for example water, then I used a higher distance threshold value.  In cases when there were many classes for the same classification, for example Agriculture 1-4, I used a lower threshold values.  The lower values and many classes allowed for high coverage with minimal (or none) mis-classification.