Supervised Classification of Remotely Sensed Images Based on Fuzzy Sets

Paper deals with supervised classification approach based on fuzzy sets. The fuzzy approach represents a minor adaptation of supervised fuzzy classification which can be found in [2] and used formerly for speech recognition problems. This method was tested for classification of remotely sensed multi-spectral video imagery. Results of this classification approach seem to be promising in comparison with classical techniques and also with some neuro-fuzzy approaches.