Dear Julien,

Thanks for your replay.
Is also my thinking right that the output files generated by
training/validation procedure are with confusion matrix but it is
regarding only the validation dataset. The .txt file generated for the late
classification with  TrainImagesClassifier does not have a confusion matrix
for the training set.

Many thanks
Thayse Nery

On 11 September 2015 at 22:56, Julien Michel <[email protected]> wrote:

> Dear Thayse,
>
> You are right, for now sampling of training/validation set is tied to
> training inside TrainImagesClassifier application, it is therefore
> impossible to know exactly which pixels have been selected to form the
> training set. Please note that we have ongoing developments on separating
> the sampling step from the training step, and therefore giving full insight
> on the sampled training set [1].
>
> Right now this is only a prototype written by Paul Gely, but we intend to
> integrate this is the classification workflow of Orfeo ToolBox.
>
> Regards,
>
> Julien
>
> [1] https://github.com/PaulGely/AppSampling
>
>
> Le 11/09/2015 16:49, Hristo Nikolov a écrit :
>
> One more suggestion - check here
> https://www.orfeo-toolbox.org//packages/OTBCookBook.pdf page 278
>
> On Friday, 11 September 2015 15:09:15 UTC+3, Hristo Nikolov wrote:
>>
>> Dear Thayse ,
>>
>> Could you please describe the way you use OTB?
>> My experience with OTB is as part of QGIS.
>> I could say that the output files generated by
>> training procedure are with confusion matrix and
>> the model file. Also in the log window of the GUI
>> have the conf. matrix as well.
>>
>> Good luck
>> Hristo
>>
>>
>> On Thursday, 27 August 2015 09:48:25 UTC+3, Thayse Nery wrote:
>>>
>>> Hi all,
>>>
>>> I am doing an object based Land Use changes classification and I have my
>>> sample training with almost 20000 pixels. I used the TrainImagesClassifier
>>> and selected the ratio between training and validation samples to be 70%
>>> training and  30% validation.
>>>
>>> As we know, this tool generates 2 files, one is the transition matrix
>>> for the validation set and the other one is .txt file for the training set.
>>> I would like to have a transition matrix also for my training set. But
>>> since its generates only a text file, I am not able to Compute a Confusion
>>> Matrix for it. I can use this text file only for the Image Classification
>>> but I do not know how to access the performance for the training sample
>>> based on the F-score, precision, recall and overall accuracy.
>>>
>>> I would like to know if it is possible to* calculate a confusion matrix
>>> for this training samples*. I could have used my original shapefile to
>>> do that, but since the TrainImagesClassifier uses some calculation such
>>> as the maximal size of the available validation sample list per class will
>>> be equal to the surface area of the smallest class multiplied by the
>>> validation sample ratio, I do not know exactly which samples were selected
>>> for the training and validation samples.
>>>
>>> Thanks for any help!
>>>
>>> Cheers,
>>> Thayse Nery
>>>
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> Julien MICHEL
> CNES - DCT/SI/AP - BPI 1219
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