Ground nephogram classification based on textural feature extraction and neural networks

The problem of ground nephogram classification using textural feature extraction and neural networks is considered in this paper. For cloud recognition, we use feature extraction based on co-occurrence matrices, and neural network classifiers for identifying cloud types in test images. This exhaustive testing gives us a better understanding of the strengths and limitations of different feature extraction methods and classification techniques on the given problem.