Towards an automatic system for road lane marking extraction in large-scale aerial images acquired over rural areas by hierarchical image analysis and Gabor filter


Autoria(s): Jin, Hang; Feng, Yanming; Li, Maoxun
Data(s)

12/05/2012

Resumo

An automatic approach to road lane marking extraction from high-resolution aerial images is proposed, which can automatically detect the road surfaces in rural areas based on hierarchical image analysis. The procedure is facilitated by the road centrelines obtained from low-resolution images. The lane markings are further extracted on the generated road surfaces with 2D Gabor filters. The proposed method is applied on the aerial images of the Bruce Highway around Gympie, Queensland. Evaluation of the generated road surfaces and lane markings using four representative test fields has validated the proposed method.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/47018/

Publicador

Taylor & Francis

Relação

http://eprints.qut.edu.au/47018/1/IJRS-JFL.pdf

DOI:10.1080/01431161.2011.620031

Jin, Hang, Feng, Yanming, & Li, Maoxun (2012) Towards an automatic system for road lane marking extraction in large-scale aerial images acquired over rural areas by hierarchical image analysis and Gabor filter. International Journal of Remote Sensing, 33(9), pp. 2747-2769.

Direitos

Copyright 2011 Taylor & Francis

This is a preprint of an article whose final and definitive form has been published in the International Journal of Remote Sensing (C) 2012, copyright Taylor & Francis. The article is available online at: http://www.tandfonline.com/doi/abs/10.1080/01431161.2011.620031

Fonte

Computer Science; Faculty of Science and Technology

Palavras-Chave #090903 Geospatial Information Systems #090905 Photogrammetry and Remote Sensing #aerial images #hierarchical image analysis #road lane marking extraction
Tipo

Journal Article