Hi Even,
The result of classification the map produce less classes than
aerial/satellites images. This is the way using k-means for you
purposes. So you need do set the border count of classes to decide is
this map or imagery. Less classes count - map, otherwise - imagery.
Best regards,
Dmitry
07.03.2014 22:49, Even Rouault пишет:
Le jeudi 06 mars 2014 20:50:45, Joaquim Luis a écrit :
Even,
Did not get it all. You want a method that allows you to tell between a
map and aerial/satellite image?
Yes exactly
I believe the k-means algorithm would produce quite good results on maps
as is expectable that individual clusters would have low variance.
Hum, I read a bit http://en.wikipedia.org/wiki/K-means_clustering and not
being familiar with it, it is not obvious how that could lead to the binary
result I expect ;-) I was hoping for a ready-made solution for my problem. I'm
kind of demanding tonight ;-)
Thanks anyway,
Even
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