Advanced digital classification methods of satellite images: modification of the Random Forest algorithm for specific application in remote perception

The objective is the modification of the original Random Forest algorithm, for its specific application in the field of remote perception, more specifically in the classification of satellite images. Being a bit more concrete it is intended to modify the original Random Forest algorithm so that when applying the baggy, independence between the training data set and the data set that it internally uses as validation is not compromised

OUT OF CALL – EXTERNAL FUNDS