Shouldn't we use spectral, spatial, and contextual attributes of our objects (segments) while we are classifying our image? Isn't this the difference between the object-based and pixel-based classifications?
I'm not sure if I'm on the right track or not but I thought I should calculate the spectral, spatial, and contextual attributes of the objects both in segmented image and training vector file and by the algorithms like RandomForest find the resemblance and finally generate the classified map. On Thursday, March 2, 2017 at 5:06:01 AM UTC-3:30, Arnaud Durand wrote: > > The application ObjectsRadiometricStatistics only put shape and > radiometric information in the attribute table of a Shapefile representing > a segmentation. > The idea is to permit in a further step a selection by attributes with a > GIS software. > > -- -- 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.
