Classification Overview
•This is a graphical representation of the inputs to the classifier (1) the clustered signature file, (2) the raw satellite imagery, (3) the area sampling frame.
•The maximum likelihood classifier performs a pixel-by-pixel classification based on the final, combined statistics file.  It calculates the probability of each pixel being from each signature; then classifies a pixel to the category with highest probability.  The processing time depends on size of file to be classified (i.e. number of pixels), number of categories in the statistics file and number of input dimensions (number of bands/pixel).
•The outputs are a categorized or classified image in PEDITOR format and the associated tabulation of categorized pixels for each cover type.