Accurate urban road model reconstruction from high resolution remotely sensed imagery based on Support Vector Machine and Gabor filters
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Conference Paper
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Accepted Version. c39161.pdf. |
Description
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 | ||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
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| Measurements or Duration: | 4 pages | ||
| Keywords: | Feature Extraction, Gabor Filter, Road Model, Support Vector Machine | ||
| ISBN: | 978-1-4244-8657-1 | ||
| Pure ID: | 32014190 | ||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Research Centres > Australian Research Centre for Aerospace Automation |
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| Copyright Owner: | Consult author(s) regarding copyright matters | ||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
| Deposited On: | 13 Dec 2010 05:28 | ||
| Last Modified: | 01 Mar 2024 23:48 |
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