Merci!

I will try, although would prefer a shell or python solution.
I'm also looking at simplecv, although it seems that reading
images > 3 bands is not easy.

Have a nice Xmas season!

Agus

On Fri, Dec 20, 2013 at 10:11 AM, Julien Malik <[email protected]> wrote:
> Hi Agus,
>
> I don't see a straight forward way to do this with otb_cli or otb-python
> (there might be one), but this is a very easy one if you are not afraid
> of writing a bit a C++.
> I would do it like this :
> - build up a VRT concatenating all the images with GDAL.
> - write a very simple pipeline Reader->MatrixImageFilter->Writer.
> - building up your transformation accordingly. N being you number of
> images, this would be a 6N x N matrix filled with (1/N) at the right places.
>
> Actually the code you need is already written in a test :
> http://hg.orfeo-toolbox.org/OTB/file/6211d0ccba0f/Testing/Code/BasicFilters/otbMatrixImageFilterTest.cxx#l40
> You just have to adapt the matrix size and filling.
>
> It would be multithreaded and streamed.
> This would give you very decent performances I think.
>
> You can follow this :
> http://www.orfeo-toolbox.org/SoftwareGuide/SoftwareGuidech2.html#x14-330002.3
> for instructions on how to build the CMakeLists that will compile your
> project.
>
> Cheers,
> Julien
>
>
> On 12/19/2013 01:14 PM, Agustin Lobo wrote:
>> I have to calculate the average multi-spectral image (6 bands)
>> over a set of ~100 images (6x1024x1280). That is, having 3 multiespectal
>> images A,B and C, I need M in which band1 is the average band1 of A, B and C
>> and so on. Also, I first subtract the mean for each band.
>>
>> I currently do this in R, but takes a very long time. I essentially
>> make an stack (which is like a vrt file) with all bands and then
>> calculate the average of bands 1,7,13...
>> 2,8, 14... etc
>> Is there a way of making this
>> calculation using either otb_cli or python-otb ?
>>
>> Thanks
>>
>> Agus
>>
>
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