Dear Arnaud,

For the last 2 weeks, I've been thinking about a way to get to a one single 
'model' file that is calculated from both segments and the training data. 
I'll try to do as you proposed above. Thanks for the help.

Best,
Ghassem

On Thursday, March 2, 2017 at 12:38:51 PM UTC-3:30, Arnaud Durand wrote:
>
> Dear Ghassem,
> OTB do not provide a fully integrated environment for object-orientated 
> classification, but several bricks you put together to build a processing 
> chain.
>
> You're right, the strength of the object-oriented approach is to mix 
> spectral, spatial, and contextual attributes during the classification 
> process. In my understanding there is no straight-forward solution in OTB 
> at the moment.
> What you can do is to produce a multi-band image including your spectral 
> bands, but also new pseudo-bands describing textural or geometrical 
> characteristics, and then run the process I described above.
>
>
> 2017-03-02 15:41 GMT+01:00 <[email protected] <javascript:>>:
>
>> Shouldn't we use spectral, spatial, and contextual attributes of our 
>> objects (segments) while we are classifying our image? Isn't this the 
>> difference between the object-based and pixel-based classifications? 
>>
>> I'm not sure if I'm on the right track or not but I thought I should 
>> calculate the spectral, spatial, and contextual attributes of the objects 
>> both in segmented image and training vector file and by the algorithms like 
>> RandomForest find the resemblance and finally generate the classified map.
>>
>> On Thursday, March 2, 2017 at 5:06:01 AM UTC-3:30, Arnaud Durand wrote:
>>>
>>> The application ObjectsRadiometricStatistics only put shape and 
>>> radiometric information in the attribute table of a Shapefile representing 
>>> a segmentation.
>>> The idea is to permit in a further step a selection by attributes with a 
>>> GIS software.
>>>
>>> -- 
>> -- 
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>> http://www.orfeo-toolbox.org/FAQ.html
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