Colour and Texture in Cloud Identification: An Experimental Comparison of Neural Network and Bayesian Methods
نویسندگان
چکیده
The employment of Artificial Neural Networks to the classification of meteorological data has been considered in previous papers and found to offer promising results. We compare the performance of the Bayesian Classifier with two different Neural Network architectures. The classifiers were used to segment images of cloud into four different meteorological classes on the basis of spectral-textural measurements. The experimental design is based on a set of 60 hand-classified images, random sampling of which enables us to generate training and test sets. This design allows us to carry out a repeatable comparison of the classifiers with different training and test data.
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