How to generalize and vectorize a LandUseClassification raster file?

Question

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.

Answer 1

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

N.

Answer 2

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

Answer 3

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...

Answer 4

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.