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Accurate urban road model reconstruction from high resolution remotely sensed imagery based on Support Vector Machine and Gabor filters

Jin, Hang, Feng, Yanming, & Shen, Yan (2011) Accurate urban road model reconstruction from high resolution remotely sensed imagery based on Support Vector Machine and Gabor filters. In Joint Urban Remote Sensing Event (JURSE 2011), 11-13 April 2011, Munich, Germany. (In Press)

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Accepted Version.

    Abstract

    In this paper, we presented an automatic system for precise urban road model reconstruction based on aerial images with high spatial resolution. The proposed approach consists of two steps: i) road surface detection and ii) road pavement marking extraction. In the first step, support vector machine (SVM) was utilized to classify the images into two categories: road and non-road. In the second step, road lane markings are further extracted on the generated road surface based on 2D Gabor filters. The experiments using several pan-sharpened aerial images of Brisbane, Queensland have validated the proposed method.

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    ID Code: 39161
    Item Type: Conference Paper
    Keywords: road model, feature extraction, support vector machine, Gabor lfilter
    ISBN: 9781424486571
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Cartography (090901)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Photogrammetry and Remote Sensing (090905)
    Divisions: Past > Schools > Computer Science
    Past > QUT Faculties & Divisions > Faculty of Science and Technology
    Copyright Owner: Copyright 2011 Please consult the authors.
    Deposited On: 13 Dec 2010 15:28
    Last Modified: 14 Dec 2010 00:42

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