A General Framework for Urban Area Extraction Exploiting Multiresolution SAR Data Fusion

This work is devoted to the presentation of a general framework for multiresolution synthetic aperture radar (SAR) data fusion for the purpose of urban area extraction. Within this framework, prerequisites for a reasonable analysis of SAR data from different sensors and spatial resolutions as well as the state of the art of fusion techniques are discussed. Furthermore, several fusion approaches on the pixel, feature, and decision level are applied on multiscale SAR data sets in a uniform experimental setup over four test sites: 1) Sao Paulo (Brazil); 2) Beijing; 3) Guangzhou; and 4) Shanghai (People's Republic of China). The accuracy of the resulting urban maps is assessed quantitatively via comparison against manually generated reference data sets. Furthermore, advantages and drawbacks of the applied fusion methods are evaluated.

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