SCALE CHARACTERISTICS OF LOCAL AUTOCOVARIANCES FOR TEXTURE SEGMENTATION

This paper describes research on the extraction of urban structures from aerial images or high resolution satellite scenes like the German MOMS02 sensor. We aim at a separation of neighboring textured regions important for describing different urban structures. It has been shown, that grey level segmentation alone is not sufficient to solve this problem. If we want to use texture additionally, the development of a suitable representation of texture images is required. We use the scale characteristics of the local autocovariance function, called SCAF, of the possibly multiband image function. The final result of the process are texture edges.

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