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

Author

Salentinig, Andreas ; Gamba, Paolo

Author_Institution

Dept. of Ind. & Inf. Eng., Univ. of Pavia, Pavia, Italy

fYear

2015

fDate

March 30 2015-April 1 2015

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

fuzzy set theory; radar detection; radar resolution; synthetic aperture radar; artificial inner urban structure; coarse resolution ASAR wide swath mode; fuzzy fusion approach; fuzzy set generation; high resolution ASAR fine mode; improved human settlement extraction; improved urban area detection algorithm; multiresolution SAR data; natural inner urban structure; urban area extraction; Accuracy; Data mining; Feature extraction; Frequency modulation; Fuzzy sets; Synthetic aperture radar; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event (JURSE), 2015 Joint

Conference_Location

Lausanne

Type

conf

DOI

10.1109/JURSE.2015.7120516

Filename

7120516