Happy New Year to all!
I want to run some r.le analyses on rasters I will create from two
ortho-photo images. The newer ortho-photo is full color, so when
importing into GRASS I get the three RGB bands. So I make an image group
and subgroup with the three bands and I can do the clustering.
On Wed, Dec 31, 2008 at 7:09 PM, José María Michia
jose.maria.mic...@gmail.com wrote:
2008/12/31 Markus Neteler nete...@osgeo.org:
Hi José,
On Wed, Dec 31, 2008 at 8:39 AM, José María Michia
jose.maria.mic...@gmail.com wrote:
Hello everyone. I'm trying v.net.salesman module. I followed the
On Thu, Jan 1, 2009 at 4:06 PM, Micha Silver mi...@arava.co.il wrote:
Happy New Year to all!
Happy New Year!
I want to run some r.le analyses on rasters I will create from two
[please consider r.li which way faster]
ortho-photo images. The newer ortho-photo is full color, so when importing
Markus Neteler wrote:
On Thu, Jan 1, 2009 at 4:06 PM, Micha Silver mi...@arava.co.il wrote:
Happy New Year to all!
Happy New Year!
I want to run some r.le analyses on rasters I will create from two
[please consider r.li which way faster]
Thanks for the tip.
On Thu, Jan 1, 2009 at 10:57 AM, Micha Silver mi...@arava.co.il wrote:
One set of aerial photos are from the 1950's -1960's. These are all black
and white photos: single band tiff. The newer set of aerial photos are
color images from 2005-2007.
The region is a savanna area with sparse trees
Perhaps that solves the problem.
Additionally, d.vect can show node numbers with
disp=topo
This should, in combination with d.zoom help to identify the
(I suppose) data problem.
Markus
Thanks. Using this advice, I've found the problem: a road isolated
from the rest.
Other command that
FYI, I have hadd good luck with v.net.salesman using the latest 6.4-SVN:
http://casoilresource.lawr.ucdavis.edu/drupal/node/698
Dylan
Thanks for the link. Very nice example!
Saludos
José María
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