[GRASS-user] object-based classification (vs pixel-based)

[Nikos Alexandris]

The i.smap module (
http://grass.itc.it/grass63/manuals/html63_user/i.smap.html ) can be
utilised for image segmentation. So I suppose you can use the segments for
an object-based classification (!).

More details in the manual or from the experts... !

Nikos.


Moritz Lennert-2 wrote:
> 
> Hello,
> 
> Some of my colleagues use eCognition for remote sensing data 
> classification. After having done so for teaching, we are now looking 
> into the possibilities of replacing proprietary with open source 
> solutions in research.
> 
> eCognition uses an object-based approach to classification as opposed to 
> pixel-based. As they put it in their brochure:
> 
> "The technology examines pixels not in isolation, but in context. It
> builds up a picture iteratively, recognizing groups of pixels as objects.
> Just like the human mind, it uses the color, shape, texture and size of
> objects, as well as their context and relationships to draw the same
> conclusions and inferences that an experienced analyst would draw."
> 
> Is something like this possible in GRASS ?
> Or are there any other open source solutions using this approach ?
> 
> Moritz
> _______________________________________________
> grass-user mailing list
> grass-user at lists.osgeo.org
> http://lists.osgeo.org/mailman/listinfo/grass-user
> 
> 

-- 
View this message in context: http://www.nabble.com/object-based-classification-%28vs-pixel-based%29-tf4856980.html#a13898688
Sent from the Grass - Users mailing list archive at Nabble.com.