Dear All, I have a question about implementing obect-based classification of oil spills in SAR images. After segmentation, I have run TrainVectorClassifier on one image. Problem is that oil spills can vary in size and shape (rather curved, elongated, etc) and I would like to improve the training step by adding more varied training data, that is from more than one images (we would like to perform the classification using OTB). Is there a tool or method in OTB that allows for the creation of a 'database' of vector training data? Closest to this that I have found so far is the TrainImageClassifier but it applies to raster data. All ideas are welcome!
Liten -- -- 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 otb-users@googlegroups.com To unsubscribe from this group, send email to otb-users+unsubscr...@googlegroups.com 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 otb-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
