Message-ID: <49EED880.3060609@amnh.org>
Date: 2009-04-22T08:42:40Z
From: Ned Horning
Subject: image classification in R
In-Reply-To: <EBFB8501-2847-4E75-A1A1-C0559584BEA5@utsa.edu>
This may be a stupid question but has anyone tried the unsupervised
option in Random Forest for unsupervised image classification? I'm not
sure how that would work.
Ned
Corey Sparks wrote:
> Dear list,
> I want to do some unsupervised image classification of some landsat
> imagery, I think I can read in the multi-band rasters using rgdal, but
> has anyone tried doing this in R? I am thinking (after looking at
> documentation for how GRASS and ArcGIS do it) that I need to do an
> initial hierarchical clustering to define clusters, but does anyone
> have an idea on how to do a maximum likelihood classification of the
> imagery? Would a discriminant function approach work? Any advice
> anyone may have would be greatly appreciated, and i'm very sorry but I
> don't have a working example yet.
> Best
>
> Corey
>
> Corey Sparks
> Assistant Professor
> Department of Demography and Organization Studies
> University of Texas at San Antonio
> One UTSA Circle
> San Antonio, TX 78249
> 210 458 6858
> corey.sparks 'at' utsa.edu
>
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