I think that currently the best option is to segment images with Large Scale 
MeanShift (see cookbook LSMS recipe) and then do some gis reasoning. You can 
have a look at this part of OTB courses, which does something similar :

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb-documents/blob/master/Courses/org/WorkshopGuide/segmentation-en.org

Note that we have a remote module in preparation that will allow for more 
segmentation algorithms to be used on large images.

Regards,

Julien

De : [email protected] [mailto:[email protected]] De la part 
de Martin Brandt
Envoyé : lundi 12 mars 2018 23:08
À : otb-users <[email protected]>
Objet : [otb-users] tree canopy mapping/object counting,..

Dear all,

I'd like to use OTB for isolating tree canopies as objects from Worldview-2, 
GeoEye-1 and Quickbird-2 images. I see there is quite some documentation on 
object extraction/labeling tools also integrated in Monteverdi online, but it 
seems to be dropped in the new versions? Or can it now be found under a 
different name?

thanks for your help,
Martin
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