Consider the workflow provided in
http://www.orfeo-toolbox.org/CookBook/CookBooksu42.html

1. Which metric is the one being used as "ranger" in otbcli_MeanShiftSmoothing
and otbcli_LSMSSegmentation? is it just a range
of DN to be applied to each single band? is it an euclidean distance
in the space of all bands?

2. For otbcli_LSMSSegmentation: how are pixels included in one cluster
in the case of multi-spectral images? The manual sates
"This application will produce a labeled image where neighbor pixels
whose range distance is below range radius (and optionally spatial
distance below spatial radius) will be grouped together into the same
cluster."
but this is unambiguous just in the case of one single band. How is
the multi-band case managed? Are pixels grouped if their range
distance is <= ranger for all bands?

4. Are images normalized before the "range distance" is calculated?

Thanks for clarifying these details, they do matter for the user to
select the appropriate ranger parameter.

Agus

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