Hi 

Sorry to be not clear 

I want to compare the two approach (fusion of classification and 
classification of concatenate images) and I want to know what could be the 
best approach of fusion of classification for my case to make the best 
comparison of the two approaches (fusion and concatenation)

Regards 
Clovis

Le mardi 12 mai 2015 12:05:18 UTC+2, Jordi Inglada a écrit :
>
> Hi Clovis, 
>
> I am not sure to understand your question. Do you want to compare 2 
> different approaches or do you want to perform the fusion of 
> classifications? 
>
> Jordi 
>
> Clovis Didry <[email protected] <javascript:>> wrote: 
> > 
> > Hi 
> > 
> > I want to compare the result of a supervized classification on multi 
> temporal data on RapidEye images. My classification is about tree species 
> (specialy Fagus sylvatica Quercus pubescens Pinus 
> > sylvestris Castanea sativa and Buxus sempervirens). 
> > 
> > I made a concatenation of data of each date and made a supervise 
> classification on it and so I would try to compare this result with a 
> fusion of classification which made on each date. 
> > 
> > Concretly, I have 3 images, each image was captured on a differents 
> dates. On a first time I have concatenated some data about each image and 
> make my supervise classification. I have so made a 
> > classification on data of each date and I want to know the best method 
> of fusion of classification for my case in OTB which be compare with the 
> classification on the concatenation. 
> > 
> > Regard 
> > 
> > Clovis Didry 
> > 
> > 
> > -- 
>

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