Has anyone had the same issue? How do you handle the clouds in multitemporal raster segmentation?
Am Freitag, 15. Juli 2016 11:14:37 UTC+2 schrieb Caro So: > > Hi Jordi, > > what I expect as a result is that the boundary of the clouds is not > visible. For example I want to segment a multitemporal dataset (it does not > have to be a stack but can be single scenes) and in one image there are > clouds but in the other image there are no clouds. What I want to do is to > exclude the clouds from segmentation in the one image, but use the values > of the other image to 'fill' the cloudy areas with segments, as you can see > in the images attached. > > Is it possible to use a 'base segmentation' as additional input and to > simply refine the existing segments, i.e., to keep the boundaries of the > existing segments? Maybe this can be done by doing a segmentation on a > (nearly) cloud free scene, then use this segmentation as a base to segment > a second scene, a third scene and so on. The parameter "Update output > vector file, update existing layer" does not keep the existing segments, it > writes new ones. > > I hope you better understand my issue now? > > Kind regards > Carolin > > > > > Am Mittwoch, 13. Juli 2016 18:00:46 UTC+2 schrieb Jordi Inglada: >> >> 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.
