LEGION-Based Automatic Road Extraction From Satellite Imagery

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 secon...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2011-11, Vol.49 (11), p.4528-4538
Main Authors: Yuan, Jiangye, Wang, DeLiang, Wu, Bo, Yan, Lin, Li, Rongxing
Format: Article
Language:English
Subjects:
Applied geophysics
Assembly
Earth sciences
Earth, ocean, space
Exact sciences and technology
Image segmentation
Internal geophysics
Locally excitatory globally inhibitory oscillator networks (LEGION)
medial axis transform
Oscillators
oscillatory correlation
Pixel
road extraction
Roads
Satellites
Silicon
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Summary: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.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2011.2146785