Hi Carolin, I understand that you are segmenting a 9 channel image which is composed from data from 3 different dates. I suppose that the clouds are not at the same position for all dates.
What do you expected as a result? What do you want to happen in the areas where clouds are present? Jordi "'Caro So' via otb-users" <[email protected]> wrote: > > Hi there, > > I'm using the OTB Segmentation algorithm "Mean Shift Segmentation". My input > raster is a Stack of 3 Sentinel-2 scenes, each having 3 bands (Principal > component bands). The file format is GeoTIFF and the spatial resolution is > 20m. > Everything runs fine except for the regions where there are clouds or masked > out clouds. The values behind the region is NoData. However, the same problem > occured when the NoData values were set to 0. See attached the JPEg images > which show the problem. > > I used the following parameters: > > Mean-Shift Segmentation > Spatial radius 10 > Range radius 60 > Mode convergence threshold 0,10000 > Maximum number of iterations 20 > Minimum region Size 20 > > Tile-based large-scale segmentation with vector output > > Stich polygons ON > > How can one deal with clouds in the image so that the boundary is not > segmented? > > Thanks for your help. > > Kind regards > Carolin > > > -- -- -- 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.
