I am trying to perform a ground cover classification in eCognition using UAV RGB imagery of a forest ecosystem, with multiresolution segmentation algorithm and NN classification.
Since there are terrain objects that are better segmented on a scale parameter = 200, and others on a scale parameter = 70, how could I implement a classification that would integrate objects segmented at both levels? (i.e. Level 1 = 200 and Level 2 = 70).
This is exactly what they do in these papers:
https://doi.org/10.1016/j.rse.2011.11.020 https://doi.org/10.1016/j.rse.2010.12.017 https://doi.org/10.1016/j.jag.2011.06.008
Thanks in advance.