The Hierarchical Classification algorithm evaluates the membership value of an image object against a list of selected classes.
The classification result of the image object is updated according to the class evaluation result. The three best classes are stored as the image object classification result. Classes without a class description are assumed to have a membership value of 0. Class features are considered only if explicitly enabled by the according parameter.
This algorithm is optimized for applying complex class hierarchies to entire image object levels. This reflects the classification algorithm of eCognition Professional 4. When working with domain-specific classification in processes, the algorithms Assign Class and Classification are recommended.
Active Classes
Choose the list of active classes for the classification.
Use Class-related Features
Enable to evaluate all class-related features in the class descriptions of the selected classes. If it is disabled these features will be ignored.
