Accurate urban road model reconstruction from high resolution remotely sensed imagery based on Support Vector Machine and Gabor filters
Data(s) |
31/01/2011
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/39161/1/c39161.pdf 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. |
Direitos |
Copyright 2011 Please consult the authors. |
Fonte |
Computer Science; Faculty of Science and Technology |
Palavras-Chave | #090901 Cartography #090905 Photogrammetry and Remote Sensing #road model #feature extraction #support vector machine #Gabor lfilter |
Tipo |
Conference Paper |