[GRASS-user] supervised image classification using textural aspects

Markus Neteler neteler at osgeo.org
Sat Aug 23 11:19:15 EDT 2008


On Fri, Aug 22, 2008 at 2:29 PM, Wout Bijkerk <wout.bijkerk at xs4all.nl> wrote:
> Looking at the images, I wonder if including textural features within
> the images would be usefull: a forest canopy has a far coarser texture
> than a grassland. Also in the Grassbook this is mentioned, and for the
> supervised classification of saltmarshes in Germany, textural features
> are also used
> 1) Is it usefull to make a raster with textural image features  as an
> extra input for i.gensigset / i.smap? The i.gensigset / i.smap procedure
> is partly based on geometry and therefor on texture as well so what does
> a texturemap add?

It's worth trying. I have done so for orthophoto classification and
it definitely helped:

The texture map(s) add patterns which can stabilize the process
of assigning pixels to classes/can improve the segmentation part
of i.smap as it renders heterogeneous areas to homogeneous


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