I'm also trying to do object-based image classification and am running in the same kind of trouble.
Can somebody help please ? Le lundi 16 novembre 2015 11:00:53 UTC+1, Thayse Nery a écrit : > > I am trying to run an object-based classification using Orfeo and R. The > Landsat images were segmented using Monteverdi (Orfeo Toolbox). > My problem is that the results (confusion matrix) are represented as the > total number of pixels per class instead of number of segments as training > object. > I applied the following steps: > > 1. The landsat images were segmented using the 4 steps of Large Scale > Mean Shift Segmentation LSMS (Orfeo Toolbox). The segments generated in > the > 4th step of LSMS is a shapefile. > 2. Training samples (segments) were selected from the LSMS 4. > 3. Then I applied the classification using the original Landsat Image > as input image. > > The classification doesn't allocate the whole segments per class, rather > it allocate number of pixels within a segment. Although I segmented the > images using the LSMS approach, the Landsat image are not considered an > object in the classification. For that reason my results are basically an > pixel based classification instead of object-based. > > It seems that I am missing a step in order to have an object based > classification. > I really appreciate any help. > > -- -- 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.
