I had realized that, but the image that you use for the segmentation
is not necessarily the image from which you want to extract the
information for a classification.
I think that the combined use of otbcli_BandMath and
otbcli_ComputeImagesStatistics within an iterative loop that Jordi
suggests will work.
Thanks

On Wed, Dec 17, 2014 at 9:32 AM, Julien Michel <[email protected]> wrote:
> Le 16/12/2014 19:23, Jordi Inglada a écrit :
>>
>> Agustin Lobo <[email protected]> wrote:
>>>
>>> Given a multi-spectral image and a labellised image (i.e. a
>>> classification, a soil map etc ) in integers
>>> is there an otbcli application  to get a table with mean, sd and n for
>>> each class (integer value)?
>>
>> I don't think this application exists, but you can script something using
>> BandMath to extract a masked image of each class and use the  -bv
>> (background value) option of the ComputeImageStatistics on the image of each
>> class.
>>
>> Jordi
>>
> Actually, the last app of the LSMS framework (otbcli_LSMSVectorization) will
> do just that for you : each segment of the label image is vectorized into a
> polygon in the output GIS file, and for each segment we compute the stats of
> the support image (i.e. the input multispectral image) and attach these
> stats as fields of the polygon. It can be seen in qgis for instance, but I
> am sure there are other ways to use these info (including ogr wrapper in
> OTB).
>
> Regards,
>
> Julien
>
> --
> Julien MICHEL
> CNES - DCT/SI/AP - BPI 1219
> 18, avenue Edouard Belin
> 31401 Toulouse Cedex 09 - France
> Tel: +33 561 282 894 - Fax: +33 561 283 109
>
>
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