On Sat, Oct 13, 2012 at 3:46 PM, Markus Metz
<[email protected]> wrote:
> i.pca in GRASS 7 can now do noise reduction by reconstructing the
> input bands from a user.defined subset of the principal components.
This sounds like an interesting extension but the usage is not clear to
me:
# NC data set:
g.region rast=lsat7_2002_10 -p
i.pca
input=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50,lsat7_2002_70
-f percent=90 out=lsat7_2002_reduced
g.mlist rast | grep reduced
raster map(s) available in mapset <neteler>:
lsat7_2002_reduced.1
lsat7_2002_reduced.2
lsat7_2002_reduced.3
lsat7_2002_reduced.4
lsat7_2002_reduced.5
lsat7_2002_reduced.6
Say, this is not entirely clear to me:
-f Output will be filtered input bands
Applies inverse PCA after PCA
(Tha manual has a replicated parameters section which needs to
be fixed, too. I can do that as soon as I understand the new
functionality).
thanks for any hints,
markusN
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