I want to vectorize that rasterfile with its 6 landuse classes. The classification is very noisy and have to be generalized before.
The result should be a polygone vector file.
I use SAGA, (GRASS) and QGIS.
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5 Answers
To simplify the raster it might be worth looking at gdal_sieve, it's available under the "Raster" menu. See: http://www.gdal.org/gdal_sieve.html
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Tryed several times with sieve and majority filter. Best results with sieve! Thanks! I will post the result after its finished... Commented Aug 21, 2012 at 14:44
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To generalize, try running a majority filter. This is available in saga (and grass as well, check markusN his answer). An explanation for how it works from arcgis: http://edndoc.esri.com/arcobjects/9.2/net/shared/geoprocessing/spatial_analyst_tools/majority_filter.htm
you can use gdal_polygonize.py for converting raster to vector, if u previously use . some information is here.
produces a polygon feature layer from a raster
SYNOPSIS
gdal_polygonize.py [-o name=value] [-nomask] [-mask filename] raster_file [-b band] [-q] [-f ogr_format] out_file [layer] [fieldname]
beside this in qgis you can use Polygonize tool for your needs. it is under the Raster > Conversion > Polygonize (Raster to vector) menu.
if u dont see anything except Raster Calculater under Raster menu, you have to enter Manage Plugins under Plugins, then enable GdalTools. that is all..
i hope it helps you...
You can first use the "mode" operator of r.neighbors in GRASS GIS (via Sextante plugin), then vectorize with r.to.vect to obtain polygons. Perhaps the "mode" operator should be run more than one time.
Using the majority filter with a kernel of 5 by 5 pixels gives the best results for me.
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