Thanks guys! Will check out both of these options. Maybe a silly question as I haven't investigated the remote modules closely, but will they work in a windows environment or is Linux recommended?
Cheers! On Friday, January 27, 2017 at 3:54:02 AM UTC-5, Jordi Inglada wrote: > > Hi Jake, > > You may try to approach your problem more systematically using the feature > selection module which is part of OTB's remote modules > > https://github.com/boussaffawalid/FeatureSelection > > This will however need that you compile your own OTB in order to activate > this module. If you don't feel like doing that, but you are comfortable > with some scripting (bash, python), you can try to loop over different band > combinations and use a cross-validation approach to select the best > combinations of input features. > > I hope this helps, > > Jordi > > Jake Shermeyer <[email protected] <javascript:>> wrote: > > > > Hi all, > > > > I'm presently using the Gradient Boosting Tree classifier as part of the > TrainImagesClassifier tool. I have a vector training dataset and a > multi-band raster that serves as my input. I've been successfully > outputting models and cal/val confusion matrices. I then use these matrices > as verification data > > to optimize my classifier, adjust parameters, and tweak the bands I use > as inputs. > > > > As part of this process, I've been adding and removing bands included in > my input raster and I would like to see which bands are contributing or are > weighted the most in the classification. > > > > For example the classifier makes decisions and groups pixels into > specific classes based on each band x% of the time: > > Band 1- 10% > > Band 2- 25% > > Band 3- 50% > > Band 4- 15% > > > > Having this information will allow me to remove less valuable bands and > ensure I'm using the strongest set of data that will be the most effective. > > > > Is this a possibility? Or is there a comparable work-around if not? > > > > Thanks > > > > -- > -- -- Check the OTB FAQ at http://www.orfeo-toolbox.org/FAQ.html You received this message because you are subscribed to the Google Groups "otb-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/otb-users?hl=en --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
