Hi, In doing remote sensing classification, we are advised that more training areas is best, but how much really? There must be a threshold where it is pointless to add more since it will not contribute significantly to the classifcation process.
I would like to ask what are the standards/best practices in defining and limiting training areas for classification in GRASS. Some literature would advise > 100 pixels per infomation class. Are there standards? For example, I have an image composed of {x} number bands of approximately {y} hectares that I need to classify to {z} classes. How much training area should be sufficient? Any ideas? cheers, maning -- |---------|----------------------------------------------------------| | __.-._ |"Ohhh. Great warrior. Wars not make one great." -Yoda | | '-._"7' |"Freedom is still the most radical idea of all" -N.Branden| | /'.-c |Linux registered user #402901, http://counter.li.org/ | | | /T |http://esambale.wikispaces.com| | _)_/LI |---------|----------------------------------------------------------| _______________________________________________ grass-user mailing list grass-user@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-user