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Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images
ISPRS International Journal of Geo-Information
This paper introduces an innovative road network extraction algorithm using synthetic aperture radar (SAR) imagery for improving the accuracy of road extraction. The state-of-the-art approaches, such as fraction extraction and road network optimization, failed to obtain continuous road segments in separate successions, since the optimization could not change the parts ignored by the fraction extraction. In this paper, the proposed algorithm integrates the fraction extraction and optimizationdoi:10.3390/ijgi6010026 fatcat:rjrnhtzvxzamvljg74s5oljmey