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In our previous works, the wavelet-based feature extraction algorithms have been developed to explore the useful information for the hyperspectral image classification. On the other hand, the idea of using artificial neural network (ANNs) has also proved useful for hyperspectral image classification. To combine the advantages of ANNs with wavelet-based feature extraction methods, the wavelet network (WN) has been proposed for data identification and classification. The value of wavelet networksdoi:10.1109/igarss.2007.4423162 dblp:conf/igarss/HsuY07 fatcat:n7hdzhxz7jbn5fnkvrotwxv3py