Machine Vision and Applications

, Volume 12, Issue 1, pp 23–31 | Cite as

Automatic extraction of roads from aerial images based on scale space and snakes

  • I. Laptev
  • H. Mayer
  • T. Lindeberg
  • W. Eckstein
  • C. Steger
  • A. Baumgartner
Original papers

Abstract. 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.

Key words:Automatic road extraction – Aerial imagery – Snakes – Multi-scale – Evaluation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • I. Laptev
    • 1
  • H. Mayer
    • 2
  • T. Lindeberg
    • 1
  • W. Eckstein
    • 3
  • C. Steger
    • 3
  • A. Baumgartner
    • 4
  1. 1.Computational Vision and Active Perception Laboratory (CVAP), NADA, KTH, 100 44 Stockholm, Sweden SE
  2. 2.Institute for Photogrammetry and Cartography, University of the Federal Armed Forces Munich, 85577 Neubiberg, Germany DE
  3. 3.MVTec Software GmbH, Neherstrasse 1, 81675 Munich, Germany DE
  4. 4.Chair for Photogrammetry and Remote Sensing, Technische Universität München, Arcisstrasse 21, 80290 Munich, Germany DE

Personalised recommendations