[GRASS-dev] Object-based classification [was: Re: i.segment: invalid region id 0]
peter.zamb at gmail.com
Thu Aug 1 05:04:19 PDT 2013
On Thu, Aug 1, 2013 at 12:40 PM, Moritz Lennert
<mlennert at club.worldonline.be> wrote:
> On 31/07/13 10:01, Pietro wrote:
>> I'm working to develop a module that use several machine learning
>> technique to classify the segments results...
>> the part concerning the hierarchical segmentation is working quite well...
> Out of curiosity: which variables are you planning on using for this
> classification ?
At the moment I'm using only the results of r.univar for each raster
in the group (RGB) combined with the ratio between (R/G, R/B, G/B) of
and it is working quite well...
Add other variables like brightness, length/width ratio, GLCM
Homogeneity, skewness, etc. it will consist only to add new columns to
a csv file.
Or would be nice to add this variables to r.univar... :-)
To classify the segments I'm using three different machine learning
techniques: Tree, KNN, and SVM. I tested also Parzen but the results
were not so good.
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