By Topic

Automatic road extraction from satellite imagery using LEGION networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jiangye Yuan ; Mapping and GIS Laboratory, the Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, Columbus, 43210 USA ; DeLiang Wang ; Bo Wu ; Lin Yan
more authors

We present an automatic method for road extraction from satellite imagery. The core of the proposed method is locally excitatory globally inhibitory oscillator networks (LEGION). We decompose the road extraction task into three stages. The first stage is image segmentation by LEGION. In the second stage, we compute the medial axis of each segment and select the segments with narrow widths. The third is the road grouping stage. With the medial axes, alignment-dependent connections between medial axis points are established and LEGION is utilized to group the well-aligned medial axes, which represent extracted road segments. Due to the selective gating mechanism of LEGION, different roads in an image are grouped separately. Experimental results on synthetic and real images show the effectiveness of this method.

Published in:

2009 International Joint Conference on Neural Networks

Date of Conference:

14-19 June 2009