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.
