Hello!

Georg Vollnhals schrieb:
> 1. Getting better scenery details for wide areas without buying any data
> - the Landsat7 project
>
> http://www.custom-scenery.org/Building-Scener.331.0.html
>
> Here a semi-automatic scanning of prepared Landsat 7 pictures can result
> into a much more detailed scenery. There are two areas available for
> FlightGear, the "Berlin Linuxtag scenery" and (as far as I remember) the
> "Bodensee scenery". Although the process of scanning these pictures is
> not easy due to the low resolution and the software and AI is under
> development the result was fascinating in my eyes.
> The aim of this project is to enhance the local scenery worldwide
> automatically by scanning the LS7 stuff. This is far! from working but a
> very interesting branch of development.
>   
Well, it _is_ working, as you can see from the Custom Scenery examples
on http://mapserver.flightgear.org/. The limiting factors currently are
the simplification required so the TerraGear and FlightGear don't choke
on the load of details we get from the low resolution imagery ;-) , and
the second is making the process workable for average Joe User (which is
mainly a problem of simplification, as well ;-) )

I have documented the process of classification at
http://www.custom-scenery.org/Building-Scener.331.0.html

Martin is currently working on trying the process himself and maybe will
be able to establish a webservice where users can retrieve parts of the
Landsat imagery for their favourite area, produce a training vector map,
e.g. using QGIS, submit that to the service again and retrieve
automatically classified vector data. He has established close ties with
the OSGeo foundation and we are allowed to use some of their topnotch
hardware for this task.

So, no, this is not "far" from working. In contrast, we are finally
approaching a point where this can be applied generally, and it might be
that Seb's work will allow us to use all the detail we can retrieve from
Landsat.

Cheers,
Ralf



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