On 31/05/18 09:52, Helmut Kudrnovsky wrote:
My hunch is that the problem is some PATH issues making it >difficult to
call R.
Maybe some of the Windows gurus out there could help with this ?
Is there a working example available for this addon?
Here's a complete working example of the entire OBIA chain in the NC
dataset (warning: this is a demo example, not necessarily one of best
practice ;-)) :
g.extension r.object.geometry
g.extension i.segment.stats
g.extension v.class.mlR
g.region rast=lsat7_2002_10 -p
i.group lsat7_2002_ms
in=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50,lsat7_2002_70
i.segment lsat7_2002_ms threshold=0.05 out=lsat7_segs_005 minsize=10
i.segment.stats lsat7_segs_005
rasters=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50,lsat7_2002_70
vectormap=lsat7_segs_stats
v.random n=1000 out=points
v.db.addtable points
v.db.addcolumn points col="class int"
v.what.rast map=points raster=landclass96 column=class
v.db.addcolumn points col="segid int"
v.what.rast map=points raster=lsat7_segs_005 column=segid
v.db.join lsat7_segs_stats column=cat otable=points ocolumn=segid
subset_col=class
v.extract lsat7_segs_stats where="class>0" output=training
v.class.mlR segments_map=lsat7_segs_stats training_map=training
train_class_colum=class
r.colors.out landclass96 rules=landclass96.colors
v.colors lsat7_segs_stats use=attr column=vote_smv rules=landclass96.colors
d.vect lsat7_segs_stats
Not sure if this should go into the man pages of the different tools, or
whether it might be better to integrate it into image classification
wiki page's section on OBIA [1] and link to that from the different man
pages.
Moritz
[1]
https://grasswiki.osgeo.org/wiki/Image_classification#Object-based_classification_and_image_segmentation
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