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(a)
(b)
Fig. 12.2 Subset of training set for grass a training pixels, b reflectance spectrum
reflectance spectrum of the extracted pixels for the respective classes are presented
in Fig. 12.2 b.
pkextract -i 2013_IEEE_GRSS_DF_Contest_FEATURES.tif -s
2013_IEEE_GRSS_DF_Contest_Samples_TR_26915.sqlite -f
SQLite -otraining_features.sqlite
The second example also creates a training set, but we now use a sample
that consists of multi-polygons. The polygons are obtained from OpenStreetMap
(see also Appendix A.1.1) and have been converted to a Spatialite vector file,
training.sqlite . We create a training based on the median value for a selec-
tion of polygons. The selection in this example is based on 50% random subset of
 
 
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