Hello there!
I am currently working with Arcgis Pro (I think Version 2.7.1) and i want to classify cemented sand areas on a dry beach via deep learning, pixel based. I took UAV-based images and have now constructed a range of Geodata from this data: Orthophoto, DEM, TerrainRuggednessIndex and others. My target is to not only use the 3-band-Orthophoto for training and classifying, but the morphologic data (DEM, Ruggedness etc.) too. I wanted to achieve this by generating a Multiband raster containing the 3 RGB-bands AND the morphologic data, and then use this several-layer-strong Multiband-Raster to train my model.
My Question is now, does the Deep Learning Toolset in Arcgis Pro use all rasterbands in the given Rasterdata to classify pixels? As far as I know, Deep learning is not dependent on the actual depiction of the raster in the data frame. But I didn't find answers yet, if it is only usable for 3-bands-strong rgb pictures.
It would be very kind if somebody could help me out!
Best regards
Lorenz Siebrecht, Germany