Hi, Since recent OTB versions there is a very nice new framework for classifictaion (PolygonStatistics, SampleSelection, SampleExtraction,TrainVectorClassifier) that allow to train model on vector data.
Can anyone tell me an OTB recipee to use these new tools for object-based classification, including the following steps : 1- Derive features from a raster images on a segmentation (mean, standard deviation of radiometric channels, or shape features) 2- Train a vectorClassifier knowing a class attributes on a sample of the (segmentation with features). 3- Apply the model on the vector data (segmentation with features) Best regards, Sébastien -- -- 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.
