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Automatic extraction of roads from aerial images based on scale space and snakes
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
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2000 (English)In: Machine Vision and Applications, ISSN 0932-8092, E-ISSN 1432-1769, Vol. 12, no 1, 23-31 p.Article in journal (Refereed) Published
Abstract [en]

We propose a new approach for automatic road extraction from aerial imagery with a model and a strategy mainly based on the multi-scale detection of roads in combination with geometry-constrained edge extraction using snakes. A main advantage of our approach is, that it allows for the first time a bridging of shadows and partially occluded areas using the heavily disturbed evidence in the image. Additionally, it has only few parameters to be adjusted. The road network is constructed after extracting crossings with varying shape and topology. We show the feasibility of the approach not only by presenting reasonable results but also by evaluating them quantitatively based on ground truth.

Place, publisher, year, edition, pages
Springer, 2000. Vol. 12, no 1, 23-31 p.
Keyword [en]
automatic road extraction, aerial imagery, snakes, multi-scale, evaluation, ridge detection, edge-detection, selection
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:kth:diva-19963DOI: 10.1007/s001380050121ISI: 000088724300004OAI: diva2:338656

QC 20100525

Available from: 2013-04-22 Created: 2010-08-10 Last updated: 2013-04-22Bibliographically approved

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