[GRASS-dev] i.plr.py Probabilistic Label Relaxation

[Markus Neteler]

On Fri, Sep 11, 2009 at 5:25 PM, Georg Kaspar <georg at muenster.de> wrote:
> Dear GRASS developers,
> Today I finished a first attempt at writing a GRASS script in python for
> probabilistic label relaxation.
> The script uses a given sigfile to run i.maxlik for _every_ given signature
> and save the reject threshold results.
> These results are used as input for the relaxation process.
> This first version is  v e r y  slow (~ 2 min) for a 150x200 cell region and
> also the assignment of probabilities for 2 classes being next to each other
> is still very basic (1.0 if the classes are the same, 0.5 if not). But
> anyway, it seems to be working!
> This will be part of my diploma thesis and I would like to hear your
> comments. Naturally I am very interested in speeding up the whole process...
> This is my first self-made script for GRASS (not counting small
> helper-scripts), so please be kind ;)

Congratulations to your first script!

Perhaps you could post an example here (ideally based on the North Carolina
data set) to facilitate testing?

best
Markus