i want to perform a classification in SNAP based on multitemporal images using Random forest for example.
But i’m a bit confused about the input for the classifier:
Should i load a single file with all the multitemporal images’ bands stacked together or classify the images separately, but in a unique classification run?
I’m not sure i have expalined my issue clearly, i mean should i use the temporal serie to augment the features’ dimension or i should use it to augment the training set?
Thanks in advance for the help.