[GRASS-SVN] r68170 - grass-addons/grass7/raster/r.randomforest
svn_grass at osgeo.org
svn_grass at osgeo.org
Mon Mar 28 10:19:24 PDT 2016
Author: spawley
Date: 2016-03-28 10:19:23 -0700 (Mon, 28 Mar 2016)
New Revision: 68170
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 17:17:52 UTC (rev 68169)
+++ grass-addons/grass7/raster/r.randomforest/r.randomforest.html 2016-03-28 17:19:23 UTC (rev 68170)
@@ -28,10 +28,10 @@
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.
-<figure>
+<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>
-</figure>
+</center>
<br><br>First, we are going to generate some training pixels from an older (1996) land cover classification:
<div class="code"><pre>
@@ -43,10 +43,10 @@
r.randomforest igroup=lsat7_2000 at landsat roi=landclass96_roi at landsat output=rf_classification mode=classification ntrees=500 mfeatures=-1 minsplit=2 randst=1 lines=100
</pre></div>
-<figure>
+<center>
<img src="rfclassification.png" alt="Random forest classification result">
<figcaption>Random forest classification result</figcaption>
-</figure>
+</center>
<h2>REFERENCES</h2>
More information about the grass-commit
mailing list