Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9455
Title: LEGION-based automatic road extraction from satellite imagery
Authors: Yuan, J
Wang, D
Wu, B 
Yan, L
Li, R
Keywords: Locally excitatory globally inhibitory oscillator networks (LEGION)
Medial axis transform
Oscillatory correlation
Road extraction
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on geoscience and remote sensing, 2011, v. 49, no. 11 PART 2, 5782977, p. 4528-4538 How to cite?
Journal: IEEE transactions on geoscience and remote sensing 
Abstract: An automatic method for road extraction from satellite imagery is presented. The core of the proposed method is locally excitatory globally inhibitory oscillator networks (LEGION). The road extraction task is decomposed into three stages. The first stage is image segmentation by LEGION. In the second stage, the medial axis of each segment is computed, and the medial axis points corresponding to narrow regions are selected. The third is the road grouping stage. Alignment-dependent connections between selected points are established, and LEGION is utilized to group well-aligned points, which represent the extracted roads. Due to the selective gating mechanism of LEGION, different roads in an image are grouped separately. Road extraction results on synthetic and real images are presented. A comparison with other methods shows that the proposed method produces very competitive extraction results.
URI: http://hdl.handle.net/10397/9455
ISSN: 0196-2892 (print)
1558-0644 (online)
DOI: 10.1109/TGRS.2011.2146785
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