Raster Classifier
This module implements methods to detect patterns in image regions. Commonly, classification algorithms are divided by the level of classification (pixel or region), and by the interaction of the user (supervised or unsupervised).

Pixel-based algorithms classify individual pixels according to their resemblance to a specific pattern. Region-based algorithms use regions from segmented images, and classify each region to a specific pattern.

Supervised methods uses a predefined typology, given by the user, who supplies samples of each pattern. Unsupervised methods detect an unknown number of patterns, according to their own method.

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