A fuzzy fusion approach for improved urban area detection in multi-resolution SAR data

This work is devoted to the fusion of fuzzy sets generated by already existing, highly sophisticated built-up area detection algorithms in order to enhance the quality of urban area extraction results. Coarse resolution ASAR Wide Swath Mode (75 m) and high resolution ASAR Fine Mode (30 m) has been used for analysis. Through the combination of multi-resolution information the advantages of both data types are utilized and improved human settlement extraction results, with respect to the heterogeneous mix of artificial and natural inner-urban structures can be achieved.