Skip to main content

Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge

  • Conference paper
  • First Online:
Computer Vision Systems (ICVS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2626))

Included in the following conference series:

Abstract

The quality control and update of geo-data, in this case especially of road-data, is the primary aim of the system, which is presented in the paper. One important task of the system is the automatic extraction of roads from aerial images. Structural knowledge about the scene, provided by existing information from a GIS database, is subdivided into global and local context knowledge. The “classical” global context approach was enhanced in such a way that additional context regions and relations were defined, mainly based on the different appearance of roads in these regions. Additionally, trees were added to the context model on the local level. After the extraction of rows of trees the road network is generated using this information as candidates for road segments. The rows of trees obtain evidence from the functional part of the road network model. Both extensions make the approach for road extraction more robust and more general, as is shown in various examples using 1:12500 panchromatic orthoimages.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • 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. Baumgartner, A., Eckstein, W., Mayer, H., Heipke, C., Ebner, H.: Context-Supported Road Extraction. In: Gruen, A., Baltsavias, E. P., Henricsson, O. (eds.): Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) Birkhäuser Verlag Basel Boston Berlin (1997) 299–308

    Google Scholar 

  2. Boichis, N., Viglino, J.-M., Cocquerez, J.-P.: Knowledge Based System for the Automatic Extraction of Road Intersections from Aerial Images. In: International Archives of Photogrammetry and Remote Sensing, Vol. XXXIII, B3 (2000) 27–34

    Google Scholar 

  3. Busch, A., Willrich, F.: System Design for Automated Quality Control of Geodata by Integration of GIS and Imagery. In: International Archieves of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV, Part 2, Commission II (2002) 53–58

    Google Scholar 

  4. Endrullis, M.: Bundesweite Geodatenbereitstellung durch das Bundesamt für Kartographie und Geodäsie (BKG). In: R. Bill and F. Schmidt (eds.): ATKIS — Stand und Fortführung. Beiträge zum 51. DVW-Seminar am 25. und 26.9.2000 an der Universität Rostock, Schriftenreihe des DVW, Band 39, Verlag Konrad Wittwer, Stuttgart (2000) 39–52

    Google Scholar 

  5. Gerke, M., Heipke, C., Straub, B.-M.: Building Extraction From Aerial Imagery Using a Generic Scene Model and Invariant Geometric Moments. In: Proceedings of the IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, IEEE Piscataway (2001) 85–89

    Google Scholar 

  6. de Gunst, M., Vosselmann, G.: A Semantic Road Model for Arial Image Interpretation. In: Förstner, W., Plümer, L. (eds.): Semantic Modeling for the Acquisition of Topographic Information from Images and Maps, Birkhäuser Publishers Basel (1997) 107–122

    Google Scholar 

  7. Heipke C., Straub, B.-M.: Towards the Automatic GIS Update of Vegetation Areas from Satellite Imagery Using Digital Landscape Model as Prior Information. In: International Archieves of Photogrammetry and Remote Sensing, Vol. XXXII, Part 3-2W5 (1999) 167–174

    Google Scholar 

  8. Hinz, S., Baumgartner, A., Mayer, H., Wiedemann, C., Ebner, H.: Road Extraction Focussing on Urban Areas. In: Baltsavias, E., Gruen, L., van Gool, L. (eds.): Automatic Extraction of Man-Made Objects from Arial and Space Images (III), A.A. Balkema Publishers Lisse Abington Exton (PA) Tokio (2001) 255–265

    Google Scholar 

  9. Hinz, S., Baumgartner, A.: Urban Road Net Extraction Integrating Internal Evaluation Models. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV, Part 3A, Commission III (2002) 163–168

    Google Scholar 

  10. Steger, C.: An Unbiased Detector of Curvilinear Structures. In: IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 20 No. 2 (1998) 113–125

    Article  Google Scholar 

  11. Straub, B.-M., Wiedemann, C., Heipke, C.: Towards the Automatic Interpretation of Images for GIS Update. In: International Archives of Photogrammetry and Remote Sensing, Vol. XXXIII, Part B2, Commission II (2000) 525–532

    Google Scholar 

  12. Wallace, S. J., Hatcher, M. J., Priestnall, G., Morton, R. D.: Research into a Framework for Automatic Linear Feature Identification and Extraction. In: Baltsavias, E., Gruen, L., van Gool, L. (eds.): Automatic Extraction of Man-Made Objects from Arial and Space Images (III), A.A. Balkema Publishers Lisse Abington Exton (PA) Tokio (2001) 381–390

    Google Scholar 

  13. Wiedemann, C.: Extraktion von Straßennetzen aus optischen Satellitenbildern. DGK Reihe C, No. 551 (2002)

    Google Scholar 

  14. Wiedemann, C., Ebner, H.: Automatic Completetion and Evaluating of Road Networks. In: International Archives of Photogrammetry and Remote Sensing, Vol. XXXIII, Part B3/2, Commission III (2000) 979–986

    Google Scholar 

  15. Willrich, F.: Quality Control and Updating of Road Data by GIS-Driven Road Extraction from Imagery. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV, Part 4, Commission IV (2002) 761–767

    Google Scholar 

  16. Zhang, C., Baltsavias, E.: Improving Cartographic Road Databases by Image Analysis. In: International Achieves of Photogrammetry and Remote Sensing, Vol. XXXIV, Part 3A, Commission III (2002) 400–405

    Google Scholar 

  17. Zhang, C.: Updating of Cartographic Road Databases by Image Analysis. Ph. D. Dissertation, Report No. 79, Institute of Geodesy and Photogrammetry, ETH Zurich, Switzerland (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Butenuth, M., Straub, BM., Heipke, C., Willrich, F. (2003). Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_16

Download citation

  • DOI: https://doi.org/10.1007/3-540-36592-3_16

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00921-4

  • Online ISBN: 978-3-540-36592-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics