Title of article :
A fuzzy-based method for road area detection in high resolution SAR images
Author/Authors :
Saati، Mehdi نويسنده he is currently a PhD degree candidate at Tehran University , , Amini، Jalal نويسنده Medical Student Research Committee, Tehran University of Medical Sciences, Tehran, Iran. ,
Issue Information :
دوفصلنامه با شماره پیاپی 0 سال 2015
Pages :
9
From page :
1085
To page :
1093
Abstract :
Automatic road extraction from satellite images is one of the most important areas of research in the eld of remote sensing. The method proposed in this study is based on a fuzzy method for the detection of road areas from high resolution SAR images. In this method, the multiple features are extracted rst, using the backscatter coecients of each pixel and its neighboring pixels. The extracted features are combined with each other in the next step using a fuzzy algorithm, and, nally, the desired road areas are selected separately considering spatial and spectral criteria. The proposed algorithm is tested on di erent scenes of TerraSAR-X images. Experimental results reveal that the proposed method is e ective
Journal title :
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
Serial Year :
2015
Journal title :
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
Record number :
2309220
Link To Document :
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