Hi everyone, I'm trying using the "Gradient Boost Tree Classifier" from the *TrainImageClassifier* tool on Monteverdi (OTB 6.0). I'm using a Pléiades image and an unique vector dataset, which the algorithm separates into two part, one for training, the other for learning. The model construction goes well, but the next step with the *ImageClassifier* tool doesn't work : the process does not exceed 0% "Writing C:/path/classif.tif". I tried on three different machines, but the process doesn't move.
I maybe missed anything in the doc or .. ? I left default settings. I also would like to try the "Artificial Neural Network Classifier" but i'm a little overwhelmed by the quantity of settings to be adjusted, and have difficulties in taking out the head of documentation (which is a little tricky without any artificial neural network knowledge). I would especially like to know quickly if this classification can suit our objectives, and default settings aren't enough to run correctly the processing. Can you help me with the esential elements to be parametrized to have basic but correct results (depending on the image, dataset or expected results i guess..) ? Thanks a lot ! Arthur -- -- Check the OTB FAQ at http://www.orfeo-toolbox.org/FAQ.html You received this message because you are subscribed to the Google Groups "otb-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/otb-users?hl=en --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
