LEGION-based automatic road extraction from satellite imagery

Jiangye Yuan, Deliang Wang, Bo Wu, Lin Yan, Rongxing Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

56 Citations (Scopus)


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.
Original languageEnglish
Article number5782977
Pages (from-to)4528-4538
Number of pages11
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number11 PART 2
Publication statusPublished - 1 Nov 2011


  • Locally excitatory globally inhibitory oscillator networks (LEGION)
  • medial axis transform
  • oscillatory correlation
  • road extraction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)


Dive into the research topics of 'LEGION-based automatic road extraction from satellite imagery'. Together they form a unique fingerprint.

Cite this