Learn how to create consistently accurate object-based land-cover maps with high automation using Random Trees, our new implementation of the robust random forest machine learning algorithm.
What you will learn:
1. How to extract land-cover classes from aerial imagery with an object based approach
2. How to leverage our new robust random forest machine learning algorithm
3. How to automate your classification workflow on multiple images