Classification of urban areas in multi-date ERS-1 images using structural features and a neural network

Describes a new method to extract structural informations from images. The loss of spatial resolution and distortions-from edges, as it occurs with standard texture algorithms, are reduced to a minimum. Furthermore, the authors describe the inhomogeneity by three different structure types according to the structures contained in SAR images. Finally they use a neural network (RBF-Network) to get a more precise classification of urban areas from SAR images.