Research on the Road Network Extraction from Satellite Imagery

Lili YUN; Keiichi UCHIMURA

doi:10.1093/ietfec/e91-a.1.433

Research on the Road Network Extraction from Satellite Imagery

Lili YUN, Keiichi UCHIMURA

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In this letter, a semi-automatic method for road network extraction from high-resolution satellite images is proposed. First, we focus on detecting the seed points in candidate road regions using a method of self-organizing map (SOM). Then, an approach to road tracking is presented, searching for connected points in the direction and candidate domain of a road. A study of Geographical Information Systems (GIS) using high-resolution satellite images is presented in this letter. Experimental results verified the effectiveness and efficiency of this approach.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.1 pp.433-436

Publication Date: 2008/01/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e91-a.1.433

Type of Manuscript: LETTER

Category: Intelligent Transport System

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Lili YUN, Keiichi UCHIMURA, "Research on the Road Network Extraction from Satellite Imagery" in IEICE TRANSACTIONS on Fundamentals, vol. E91-A, no. 1, pp. 433-436, January 2008, doi: 10.1093/ietfec/e91-a.1.433.
Abstract: In this letter, a semi-automatic method for road network extraction from high-resolution satellite images is proposed. First, we focus on detecting the seed points in candidate road regions using a method of self-organizing map (SOM). Then, an approach to road tracking is presented, searching for connected points in the direction and candidate domain of a road. A study of Geographical Information Systems (GIS) using high-resolution satellite images is presented in this letter. Experimental results verified the effectiveness and efficiency of this approach.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.1.433/_p

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@ARTICLE{e91-a_1_433,
author={Lili YUN, Keiichi UCHIMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Research on the Road Network Extraction from Satellite Imagery},
year={2008},
volume={E91-A},
number={1},
pages={433-436},
abstract={In this letter, a semi-automatic method for road network extraction from high-resolution satellite images is proposed. First, we focus on detecting the seed points in candidate road regions using a method of self-organizing map (SOM). Then, an approach to road tracking is presented, searching for connected points in the direction and candidate domain of a road. A study of Geographical Information Systems (GIS) using high-resolution satellite images is presented in this letter. Experimental results verified the effectiveness and efficiency of this approach.},
keywords={},
doi={10.1093/ietfec/e91-a.1.433},
ISSN={1745-1337},
month={January},}

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TY - JOUR
TI - Research on the Road Network Extraction from Satellite Imagery
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 433
EP - 436
AU - Lili YUN
AU - Keiichi UCHIMURA
PY - 2008
DO - 10.1093/ietfec/e91-a.1.433
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2008
AB - In this letter, a semi-automatic method for road network extraction from high-resolution satellite images is proposed. First, we focus on detecting the seed points in candidate road regions using a method of self-organizing map (SOM). Then, an approach to road tracking is presented, searching for connected points in the direction and candidate domain of a road. A study of Geographical Information Systems (GIS) using high-resolution satellite images is presented in this letter. Experimental results verified the effectiveness and efficiency of this approach.
ER -