Mar 31, 1995 · This article presents an implementation of an artificial neural network (ANN) which performs unsupervised detection of recognition categories from arbitrary ...
Oct 22, 2024 · In most of the cases, the neural network classifiers can improve the classification accuracy by 10-30% compared to the traditional ...
The SARTNN performance is tested as a satellite image clustering algorithm. A chromatic component extractor is recommended in a satellite image pre- processing ...
The performance of the proposed ANN is tested as a satellite image clustering algorithm. In comparison with classical clustering algorithms like ISODATA, the ...
A neural network for unsupervised categorization of multivalued input patterns: an application to satellite imaee clustering. Baraldi, A.; Parmiggiani, F.
A neural network for unsupervised categorization of multivalued input patterns: an application to satellite image clustering. Profile image of Andrea Baraldi ...
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Baraldi et al. A neural network for unsupervised categorization of multivalued input patterns: an application to satellite image clustering. IEEE Trans ...
This paper reviews remotely sensed data analysis with neural networks. First, we present an overview of the main concepts underlying ANNs.