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Y. Avrithis and S. Kollias
Fuzzy Image Classification Using Multiresolution Neural Networks with Applications to Remote Sensing
Proceedings of 13th International Conference on Digital Signal Processing (DSP '97), Santorini, Greece, July 1997.
ABSTRACT
Recent progress in supervised image classification research, has demonstrated the potential usefulness of incorporating fuzziness in the training, allocation and testing stages of several classification techniques. In this paper a multiresolu­ tion neural network approach to supervised classification is presented, exploiting the inherent fuzziness of such tech­ niques in order to perform classification at different resolution levels and gain in computational complexity. In par­ ticular, multiresolution image analysis is carried out and hierarchical neural networks are used as an efficient archi­ tecture for classification of the derived multiresolution image representations. A new scheme is th
01 January , 1997
Y. Avrithis and S. Kollias, "Fuzzy Image Classification Using Multiresolution Neural Networks with Applications to Remote Sensing", Proceedings of 13th International Conference on Digital Signal Processing (DSP '97), Santorini, Greece, July 1997.
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