Automatic Road Extraction From Remote Sensing Images Based on a Normalized Second Derivative Map

作者：Bae Yoonsung^*; Lee Won Hee; Choi Yunjun; Jeon Young Woo; Ra Jong Beom

来源：IEEE Geoscience and Remote Sensing Letters, 2015, 12(9): 1858-1862.

DOI：10.1109/LGRS.2015.2431268

• Automatic road extraction
• bar-shape road profile
• normalized second derivatives
• remote sensing images

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.

• 出版日期2015-9