Module 9 - Unsupervised Image Classification

The map on the left shows unsupervised classification of an area.Unsupervised classification relies on the software to classify the pixels. Once classified I manually assigned each type of pixel into one of five categories, and gave each category a unique and distinctive color.

Most of the process was done in ERDAS Imagine. First, to classify the image into 50 distinct pixel categories. Then, to manually assign each pixel to a new category. Lastly, ArcMap was used to create the final map.