Hi Rodigue,
I just looked into the application source code : mask is used when
sampling image for training (i.e. the K-Means centroids are estimated
while ignoring masked pixels) but classification is applied to the whole
image (mask not handled by filter). We can for sure add masking to the
classification step. In the mean time, you can workaround this with the
BandMath application. Say im1 is the classification result and im2 is
the mask, you can use the following expression : "im2b1>0?im1b1:9999"
(replace 9999 by any no data label).
Regards,
Julien
Le 13/04/2015 10:12, rodrigue archambeau a écrit :
No idea ?
Le mercredi 25 mars 2015 11:16:11 UTC+1, rodrigue archambeau a écrit :
Hi everyone,
I am trying to make an unsupervised classification with
Monteverdi2, using a set of landsat images from which I have
masked out the land part (1 for water et 0 for land) (I want the
water vegetation).
But everytime I launched the classification, the mask zone is
classified too.
The image and the mask are both the same size,
I had try to make the classification with the mask in interger and
in float and nothing changed.
Did anyone have an idea how to do this ?
Thank you for your help
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