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:

I am classifying at one level, and then applying a mask to classify at another level so perhaps ignoring the masked areas could work.

I am not able to implement masks in classified objects.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.