Hi Nouha,

it can be indeed tricky to find the best parameters. What you should have
in mind:

- spatial radius: a higher value will lead to a stronger smoothing and will
also take more time.
- range radius is the spectral radius which means how pixels in the spatial
radius and with close radiometry values will be averaged. A higher value
will increase the smoothing effect

Note that with the LSMS segmentation framework those parameters are related
to the smoothing app (first step)  which will have impact the segmentation
results but there is the Small region merging step which can allows you to
filter regions/clusters (see this step as a postprocessing). an other
option is to perform spatial reasoning at the end and filter/merge some
regions based on radiometric criteria for instance.

You can find more information and tips in the recipe about LSMS
segmentation in the cookbook and there is also a dedicated exercise about
segmentation of HR images in the CNES training course:

<goog_1340611088>
https://www.orfeo-toolbox.org/documentation/

Regards,


2017-09-14 11:23 GMT+02:00 nouha touihri <[email protected]>:

> Hello,
> I'm very new in OTB and I need to do the segmentation of a pleiade imagery
> (0.5 metres of resolution). I found a hard time choosing the spatial radius
> and the range radius.
> I already tried with spatial radius=30 and range radius=100 but still
> have tree shadow problems ... I'm using OTB 5.10.1
> Does anyone can help me please!
>
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-- 
Manuel Grizonnet

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