Hi everyone!
I have images from different zones (not neighboring so cannot mosaic all of them) but they are not far from each other in a similar areas and of course, all the images have the same spectral and spatial resolution and I want to classify the same classes from them. So, I was wondering if it is possible to fusion the information of several random forest classifiers (*.class and *.xml) so it could be used later in a new RF classification (load and apply classifier) considering all the information of the training areas of all.
Any help will be welcome 
Best regards,
Laura