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Combining SAR-Based and Multispectral-Based Extractions to Map Urban Areas at Multiple Spatial Resolutions

Urban remote sensing and data fusion are intimately connected, and this paper discusses recent developments in urban extent extraction using remotely sensed data with data sets or algorithms working at the global level. To achieve the results presented in this paper, several data fusion techniques at the raw data level, the feature level, and the decision level are designed and exploited. Specifically, multi-resolution data fusion techniques to exploit SAR data acquired in different modes, as well as fusion of information extracted from SAR and multispectral data are considered and evaluated.