Texture-based characterization of urban environments on satellite SAR images

In this letter, we investigate the use of cooccurence texture measures to provide information on different building densities inside a town structure. We try to improve e pixel-by-pixel classification of an urban area by considering texture measures as a means for block analysis and classification. e find some interesting hints concerning the optimal dimension the window to be considered for texture measures, as well as the most useful measures. Moreover, we show that it is possible to use medium-resolution readily available satellite synthetic aperture radar images for a more refined urban analysis than previously shown.