You are absolutely right :) My mistake. SMAP is a segmentation algorithm. But my idea was not to use SMAP as a classification but use a Segmentation process and only then a Supervides Classification. Or if Use SMAP I'm doing both things in this order?
Thanks Markus Nikos On Mon, Jan 18, 2010 at 11:22 PM, Markus Neteler <nete...@osgeo.org> wrote: > On Mon, Jan 18, 2010 at 6:30 PM, Nikos Dumakis <nikosdu1...@gmail.com> > wrote: > > Greetings all > > I've been following GRASS-user discussion related with > pos-classigfication, > > classification, aggregation and so on. But, while I was readingh those > > emails I figured that I will need to perform, before classification, an > > image segmentation to derive objects. > > You don't need to perform a segmentation before doing classification but > i.smap is doing it in a combined way. > > > Can anyone give me a clue abvout that because in GRASS book, I only > founded > > Image segmentation related with processing large quantities of vectorial > > data (DEM's). > > (DEMs are raster data) > > What you need to do is to prepare the statistics with i.gensigset. See > "radiometric & geometric supervised" in > > http://grass.osgeo.org/wiki/Image_classification > > (The book is explaining that as well) > > Hope this helps, > Markus >
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