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- W1480020587 abstract "In this letter, we propose a novel automatic algorithm for road extraction from remote sensing images. The algorithm includes low- and high-level processing. In the low-level processing, we determine a normalized second derivative map of road profiles of a generalized bar shape, which is width invariant and contrast proportional, and accordingly obtain initial road center pixels. In the high-level processing, using the map and initial center pixels, we initially determine road segments. The segments are then locally refined using their orientation randomness and length-to-width ratio and further refined via global graph-cut optimization. A final road network is thereby extracted in a robust manner. Experimental results demonstrate that the proposed algorithm provides noticeably more robust and higher road extraction performance in various images compared with the existing algorithms." @default.
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- W1480020587 date "2015-09-01" @default.
- W1480020587 modified "2023-10-07" @default.
- W1480020587 title "Automatic Road Extraction From Remote Sensing Images Based on a Normalized Second Derivative Map" @default.
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- W1480020587 doi "https://doi.org/10.1109/lgrs.2015.2431268" @default.
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