Hello,
I have a question about the exact Large-Scale Mean-Shift segmentation workflow. I've set up a workflow to process large amounts of tiles multi threaded, which is working nicely. Before processing larger datasets I've ran multiple test on smaller sets to come up with the best segmentation settings. After running a test on approximately 900 hectares I found that about 80% of the segmentation was successful. Some errors are due to cloud shadow/aligning artifacts, but other errors I don't fully understand. Below an example where the segmentation clearly missed the segments of the grass/road on the left side, while on the right side it segmented correctly. This missing of segments happens throughout the image, with different objects and spectral ranges, for I would say about 15% of the total area. <https://lh3.googleusercontent.com/-io3WGg61RMM/V4yzeaoR8PI/AAAAAAAA36E/V4AG9doY_98mu3NtrQIr1K6i-4UP3Vl8QCLcB/s1600/segmen.PNG> My question is, why is it missing this segment, while on similar objects/spectral ranges this does not happen? The image consists of a RGB and NIR band stretched from 0 to 255. My segmentation settings are: -ranger 7.5 -spatialr 10 -minsize 0 with tile sizes of 1000. The spectral euclidean distance should be more than 7.5 for the road and grass segments. What am I missing? Many thanks! Kind regards, Darell -- -- 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.
