Content fuzzy learning for remote sensing image database systems

The present work is focused on the development of a learning module for the automatic implementation of a retrieval mechanism for a remote sensing images database, on the basis of user preferences. The proposed approach learns by example from the user and is based on an innovative integration of binary decision trees and fuzzy techniques.