A Fully Fuzzy Supervised Classification of Remotely Sensed Imagery

This paper presents a fully fuzzy strategy for image classification based on a neural network architecture, which promises to overcome some problems encounered in a conventional crisp even fuzzy classification process. The proposed method was successfully applied in a classification of a suburban land cover with resuls confirming the flexibility and practicality of this fully fuzzy approach.