Evaluating automatic road detection across a large aerial imagery collection
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Accepted Version
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DICTA2011.pdf. Available under License Creative Commons Attribution Share Alike 3.0 Australia. |
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PDF
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DICTA2011_slides.pdf. Available under License Creative Commons Attribution Share Alike 3.0 Australia. |
Description
The automated extraction of roads from aerial imagery can be of value for tasks including mapping, surveillance and change detection. Unfortunately, there are no public databases or standard evaluation protocols for evaluating these techniques. Many techniques are further hindered by a reliance on manual initialisation, making large scale application of the techniques impractical. In this paper, we present a public database and evaluation protocol for the evaluation of road extraction algorithms, and propose an improved automatic seed finding technique to initialise road extraction, based on a combination of geometric and colour features.
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| ID Code: | 47715 | ||||||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||||||
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| Measurements or Duration: | 6 pages | ||||||
| Keywords: | Automatic Road Detection, Database, Detection Algorithms, Feature Extraction, Image Colour Analysis | ||||||
| DOI: | 10.1109/DICTA.2011.30 | ||||||
| ISBN: | 978-1-4577-2006-2 | ||||||
| Pure ID: | 32029657 | ||||||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Engineering Systems Past > Institutes > Institute for Future Environments Past > QUT Faculties & Divisions > Science & Engineering Faculty |
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| Copyright Owner: | Copyright 2011 IEEE | ||||||
| Copyright Statement: | Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | ||||||
| Deposited On: | 13 Dec 2011 23:14 | ||||||
| Last Modified: | 02 Aug 2024 16:22 |
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