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Remote Sens. 2014, 6(9), 9014-9033; doi:10.3390/rs6099014

Automatic Road Centerline Extraction from Imagery Using Road GPS Data

1,2,* and 1
1
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117583, Singapore
2
Harbin institute of technology (HIT) Wuhu Robot Technology Research Institute, Wuhu 241007, China
*
Author to whom correspondence should be addressed.
Received: 20 June 2014 / Revised: 25 August 2014 / Accepted: 2 September 2014 / Published: 23 September 2014
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Abstract

Road centerline extraction from imagery constitutes a key element in numerous geospatial applications, which has been addressed through a variety of approaches. However, most of the existing methods are not capable of dealing with challenges such as different road shapes, complex scenes, and variable resolutions. This paper presents a novel method for road centerline extraction from imagery in a fully automatic approach that addresses the aforementioned challenges by exploiting road GPS data. The proposed method combines road color feature with road GPS data to detect road centerline seed points. After global alignment of road GPS data, a novel road centerline extraction algorithm is developed to extract each individual road centerline in local regions. Through road connection, road centerline network is generated as the final output. Extensive experiments demonstrate that our proposed method can rapidly and accurately extract road centerline from remotely sensed imagery. View Full-Text
Keywords: road centerline extraction; road GPS data; road connection; satellite image; remote sensing road centerline extraction; road GPS data; road connection; satellite image; remote sensing
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Cao, C.; Sun, Y. Automatic Road Centerline Extraction from Imagery Using Road GPS Data. Remote Sens. 2014, 6, 9014-9033.

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