[GRASS-user] supervised image classification using textural aspects

[Dylan Beaudette]

On Saturday 23 August 2008 08:19:15 am Markus Neteler wrote:
> Wout,
>
> 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:
> http://mpa.itc.it/markus/ortho_smap/
>
> 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
> areas.
>
> Markus
> _______________________________________________

Next time I will give r.texture a try. For the record, here is another example 
of i.smap in use.

http://casoilresource.lawr.ucdavis.edu/drupal/node/548

Dylan







-- 
Dylan Beaudette
Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341