Automatic Verification of Roads in Digital Images Using Profiles | SpringerLink
Skip to main content
Springer Nature Link
Log in

Automatic Verification of Roads in Digital Images Using Profiles

  • Conference paper
Mustererkennung 1996

Part of the book series: Informatik aktuell ((INFORMAT))

  • 117 Accesses

Abstract

Update of geographic information systems (GIS) is very important. So far it is done mainly manually. In this paper we propose an approach for the automatic verification of roads. It is a first step to-wards a more automatic update procedure. The approach is based on up-to-date aerial images as well as GIS data. In the surroundings of GIS road-axes candidates for roadsides are searched for in the image based on profiles. The candidates for roadsides are tested and a measure of confidence is calculated for the corresponding GIS road-axes. This leads to a classification of the GIS road-axes into verified, asymmetric and rejected. Practical examples for aerial images of different complexity are given.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5879
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7349
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder, 1989.

    Google Scholar 

  2. Z. Aviad and P.D. Carnine. Road Finding for Road-Network Extraction. In Computer Vision and Pattern Recognition, pages 814–819, 1988.

    Google Scholar 

  3. M. Barzohar and D.B. Cooper. Automatic Finding of Main Roads in Aerial Images by Using Geometric - Stochastic Models and Estimation. In Computer Vision and Pattern Recognition, pages 459–464, 1993.

    Google Scholar 

  4. G. Bordes, G. Giraudon, and O. Jamet. Road Extraction Guided by a Cartographic Database: Creating a Strategy. In Workshop on Context-Based Vision, pages 30–37, 1995.

    Google Scholar 

  5. W.J. Christmas, J. Kittler, and M. Petrou. Structural Matching in Computer Vision Using Probabilistic Relaxation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (8): 749–764, 1995.

    Article  Google Scholar 

  6. D. Fritsch and M. Sester. Test on Image Understanding. In International Archives of Photogrammetry and Remote Sensing, volume (30) 3/1, pages 243–248, 1994.

    Google Scholar 

  7. E. Gülch. Cartographic Features from Digital Images. In Contribution to 2nd Course in Digital Photogrammetry, Bonn, Royal Institute of Technology, Departement of Geodesy and Photogrammetry, Stockholm, Schweden, 1995.

    Google Scholar 

  8. C. Heipke. State-of-the-Art of Digital Photogrammetric Workstations for Topographic Applications. Photogrammetric Engineering & Remote Sensing, 61 (1): 49–56, 1995.

    Google Scholar 

  9. A. Illert. Automationsgestützte Fortführung des ATKIS. Studie, Institut für Photogrammetrie, Universität Bonn, Auftraggeber: Landesvermessungsamt Nordrhein-Westfalen, 1993.

    Google Scholar 

  10. S. Lanser and W. Eckstein. A Modification of Deriche’s Approach to Edge Detection. In Proc. of the International Conference on Pattern Recognition, pages 633–637. IEEE, 1992.

    Google Scholar 

  11. H. Mayer. Abstraction and Scale-Space Events in Image Understanding. In International Archives of Photogrammetry and Remote Sensing, volume (31) 3, 1996.

    Google Scholar 

  12. D.M. McKeown and J.L. Denlinger. Cooperative Methods For Road Tracking In Aerial Imagery. In Computer Vision and Pattern Recognition, pages 662–672, 1988.

    Google Scholar 

  13. Berthold Plietker. Semiautomatic Revision of Street Objects in ATKIS Database DLM 25/1. In International Archives of Photogrammetry and Remote Sensing, volume (30) 4, pages 311–317, 1994.

    Google Scholar 

  14. R. Ruskoné, S. Airault, and O. Jamet. A Road Extraction System Using the Connectivity Properties of the Network. Zeitschrift für Photogrammetrie und Fernerkundung, 5 /94: 174–180, 1994.

    Google Scholar 

  15. C. Steger, C Glock, W. Eckstein, H. Mayer, and B. Radig. Model-Based Road Ex-traction from Images. In Automatic Extraction of Man-Made Objects from Aerial and Space Images, pages 275–284, Basel, Schweiz, 1995. Birkhäuser Verlag.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Technische Universität München, D-80290, München, Germany

    Christian Wiedemann & Helmut Mayer (Lehrstuhl für Photogrammetrie und Fernerkundung)

Authors
  1. Christian Wiedemann
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Helmut Mayer
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Interdisziplinäres Zentrum für Wissenschaftliches Rechnen Forschergruppe Bildverarbeitung, Universität Heidelberg, Im Neuenheimer Feld 368, D-69120, Heidelberg, Germany

    Bernd Jähne , Peter Geißler , Horst Haußecker  & Frank Hering , ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wiedemann, C., Mayer, H. (1996). Automatic Verification of Roads in Digital Images Using Profiles. In: Jähne, B., Geißler, P., Haußecker, H., Hering, F. (eds) Mustererkennung 1996. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80294-2_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-80294-2_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61585-9

  • Online ISBN: 978-3-642-80294-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation