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List:       grass-commit
Subject:    [GRASS-SVN] r68171 - grass-addons/grass7/raster/r.randomforest
From:       svn_grass () osgeo ! org
Date:       2016-03-28 17:22:55
Message-ID: 20160328172255.4910139029E () trac ! osgeo ! org
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Author: spawley
Date: 2016-03-28 10:22:55 -0700 (Mon, 28 Mar 2016)
New Revision: 68171

Modified:
   grass-addons/grass7/raster/r.randomforest/r.randomforest.html
Log:
adding example images for randomforest

Modified: grass-addons/grass7/raster/r.randomforest/r.randomforest.html
===================================================================
--- grass-addons/grass7/raster/r.randomforest/r.randomforest.html	2016-03-28 17:19:23 \
                UTC (rev 68170)
+++ grass-addons/grass7/raster/r.randomforest/r.randomforest.html	2016-03-28 17:22:55 \
UTC (rev 68171) @@ -28,9 +28,9 @@
 
 Here we are going to use the GRASS GIS sample North Carolina data set as a basis to \
perform a landsat classification. We are going to classify a Landsat 7 scene from \
2000, using training information from an older (1996) land cover dataset.  
+<br><br>Landsat 7 (2000) bands 7,4,2 color composite example:
 <center>
 <img src="lsat7_2000_b742.png" alt="Landsat 7 (2000) bands 7,4,2 color composite \
                example">
-<figcaption>Landsat 7 (2000) bands 7,4,2 color composite example</figcaption>
 </center>
 
 <br><br>First, we are going to generate some training pixels from an older (1996) \
land cover classification: @@ -43,9 +43,9 @@
 r.randomforest igroup=lsat7_2000@landsat roi=landclass96_roi@landsat \
output=rf_classification mode=classification ntrees=500 mfeatures=-1 minsplit=2 \
randst=1 lines=100  </pre></div>
 
+<br><br>Random forest classification result:
 <center>
 <img src="rfclassification.png" alt="Random forest classification result">
-<figcaption>Random forest classification result</figcaption>
 </center>
 
 <h2>REFERENCES</h2>

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