LEGION-Based Automatic Road Extraction From Satellite Imagery

被引：51

作者：

Yuan, Jiangye ^{[1
,2
]}

Wang, DeLiang ^{[1
,2
]}

Wu, Bo

Yan, Lin ^{[3
]}

Li, Rongxing ^{[3
]}

机构：

[1] Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA

[2] Ohio State Univ, Ctr Cognit Sci, Columbus, OH 43210 USA

[3] Ohio State Univ, Mapping & GIS Lab, Dept Civil & Environm Engn & Geodet Sci, Columbus, OH 43210 USA

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2011年 / 49卷 / 11期

关键词：

Locally excitatory globally inhibitory oscillator networks (LEGION); medial axis transform; oscillatory correlation; road extraction; OSCILLATOR NETWORK; AERIAL IMAGES; COMPETITION;

D O I：

10.1109/TGRS.2011.2146785

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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.

引用

页码：4528 / 4538

页数：11

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