I try to extract woodland areas from a greyscale orthophoto. I used the "Haralick Texture Extraction" from the Orfeo Tool Box to calculate texture properties of the greyscale orthophoto. As output I get a raster with 10+ bands. Each band is representing a texture property like Contrast, Homogeneity, Dissimilarity and so on. Calculating texture properties is parameterised. You need to state a specific radius.
For the differentiation of woodland and non-woodland areas, my idea was to create a stacked raster with the texture features for 5 different radiuses, this raster would have 50+ bands, followed by a supervised classification. I already created a training dataset for woodland and non-woodland areas.
My question is: How do I identify bands of this stacked image that are relevant for the differentiation of woodland and non-woodland areas prior to the classification?