The pre-processed images are then classified by both unsupervised,
supervised classification methods. In un-supervised
classification method the ISODATA clustering algorithm
which is built in the ERDAS Imagine will classify
according to the number of classes required and the digital
number of the pixels available. In the supervised classification
technique the maximum likely hood algorithm will
classify the image based on the training sets (signatures)
provided by the user based on his field knowledge.