Bridging the Semantic Gap for Satellite Image Annotation and Automatic Mapping Applications

This paper brings a solution for bridging the gap between the results of state-of-the-art automatic classification algorithms and high semantic human-defined manually created terminology of cartographic data. Using a recent pure-spectral rule-based fully automatic classifier to define the basic 'voc... View More