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Histogram-based road border line extractor for road extraction from satellite imagery  

Lee, Dong-Hoon (School of Electrical Engineering and Computer Science, Kyungpook National University)
Kim, Jong-Hwa (School of Electrical Engineering and Computer Science, Kyungpook National University)
Choi, Heung-Moon (School of Electrical Engineering and Computer Science, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.5, 2007 , pp. 28-34 More about this Journal
Abstract
A histogram-based road border line extractor is proposed for an efficient road extraction from the high-resolution satellite imagery. The road border lines are extracted from an edge strength map based on the directional histogram difference between the road and the non-road region. The straight and the curved roads are extracted hierarchically from the edge strength map of the original image and the segmented road cluster images, and the road network is constructed based on the connectivity. Unlike the conventional approaches based on the spectral similarity, the proposed road extraction method is more robust to noise because it extracts roads based on the histogram, and is able to extract both the location and the width of roads. In addition, the proposed method can extract roads with various spectral characteristics by identifying the road clusters automatically. Experimental results on IKONOS multi-spectral satellite imagery with high spatial resolution show that the proposed method can extract the straight and the curved roads as well as the accurate road border lines.
Keywords
road extraction; satellite image; road border line; histogram difference;
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