Automatic road extraction from satellite imagery using LEGION Networks

Jiangye Yuan; De Liang Wang; Bo Wu; Lin Yan; Rongxing Li

doi:10.1109/IJCNN.2009.5178605

Automatic road extraction from satellite imagery using LEGION Networks

Jiangye Yuan, De Liang Wang, Bo Wu, Lin Yan, Rongxing Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

12 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages	3471-3476
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2009.5178605
Publication status	Published - 18 Nov 2009
Externally published	Yes
Event	2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States Duration: 14 Jun 2009 → 19 Jun 2009

Conference

Conference	2009 International Joint Conference on Neural Networks, IJCNN 2009
Country/Territory	United States
City	Atlanta, GA
Period	14/06/09 → 19/06/09

ASJC Scopus subject areas

Software
Artificial Intelligence

More information

10.1109/IJCNN.2009.5178605

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title = "Automatic road extraction from satellite imagery using LEGION Networks",

abstract = "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.",

author = "Jiangye Yuan and Wang, {De Liang} and Bo Wu and Lin Yan and Rongxing Li",

year = "2009",

month = nov,

day = "18",

doi = "10.1109/IJCNN.2009.5178605",

language = "English",

isbn = "9781424435531",

pages = "3471--3476",

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note = "2009 International Joint Conference on Neural Networks, IJCNN 2009 ; Conference date: 14-06-2009 Through 19-06-2009",

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T1 - Automatic road extraction from satellite imagery using LEGION Networks

AU - Yuan, Jiangye

AU - Wang, De Liang

AU - Wu, Bo

AU - Yan, Lin

AU - Li, Rongxing

PY - 2009/11/18

Y1 - 2009/11/18

N2 - 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.

AB - 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.

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U2 - 10.1109/IJCNN.2009.5178605

DO - 10.1109/IJCNN.2009.5178605

M3 - Conference article published in proceeding or book

SN - 9781424435531

SP - 3471

EP - 3476

BT - 2009 International Joint Conference on Neural Networks, IJCNN 2009

T2 - 2009 International Joint Conference on Neural Networks, IJCNN 2009

Y2 - 14 June 2009 through 19 June 2009

ER -

Automatic road extraction from satellite imagery using LEGION Networks

Abstract

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