Help for Image Classification
With this module you can firstly visualize a series of parameters for a selected pixel:
amplitude time series,
amplitude changes matrix,
amplitude coherence matrix.
Based on these observations, and on your knowledge of the anlyzed area, you can select a set of pixels belonging to different classes
(supervised classification), then you can select a series of features to characterize each class,
and then run a series of functions to classify all the area at hand.
The module is still under development and we be soon equipped by an unsupervised classification, based on data clustering.