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Then, using probabilistic method, road centerline is extracted.
A support vector machine-based road centerline is proposed by Xin et al. [14].
Thus, the proposed work is the noise-immune algorithm for road centerline extraction.
Thus, the proposed work is appropriate for road centerline detection in noisy images also.
Fine single pixel width road centerline is extracted using proposed methods.
Finally road centerline is extracted from the given high resolution satellite images.
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Xiaoying et al. integrated two detectors to detect road centerlines.
An approach based on fuzzy logic and trivial opening is proposed; to extract main road centerlines from pan-sharpened IKONOS images, it is presented by Ali et al. [31].
Shape files providing coordinates of road centerlines were obtained from the Southeast Michigan Council of Governments SEMCOGG).
GPS coordinates >20 m from the centerline of the nearest road (due to poor GPS reception in street canyons) were moved to the monitoring route centerline using ArcGIS 10.1 (ESRI, Redmond, CA; 6% of data in Chinatown only).
Once installed along the road's centerline, they provide as much illumination as streetlamps.
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