I'd suggest to try TrainImagesClassifier with SAR rasters and then covert the result in vector format. This could test your approach.
On Thursday, 20 September 2018 11:56:03 UTC+3, Efi wrote: > > 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.
