Skip to main content

Circular Shape Detection in Remote Sensing Multispectral Images

  • Chapter
Visual Form

Abstract

In this paper a technique originally developed for computer vision, the Hough Transform, has been applied to remote sensing image analysis. A new implementation of the Hough Transform to detect circles which is suitable for the design of an automatic tool for remote sensing image analysis has been developed. Synthetic and real images have been analyzed in order to understand critical factors in circle detection. Results obtained both on some TV camera and LANDS AT test images showing circular features of geological interest are reported. A performance analysis has been done by first processing test images by means of the proposed Hough Transform methodology and then by comparing the obtained results with those supplied by photointerpretation.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. D.H. Ballard, “Generalising The Hough Transform to Detect Arbitrary Shapes”, Pattern Recognition Vol 13, No. 2, 1981, pp 111–122.

    Article  MATH  Google Scholar 

  2. H. Maummar, M. Nixon, “Approaches To Extending The Hough Transform”, Proceedings IEEE Conf in ASSP 1989, pp 1556-1559.

    Google Scholar 

  3. J. Princen, H.K. Yuen, J. Illingworth, J. Kittler, “A Comparison of Hough Transform Methods”, University of Surrey, UK.

    Google Scholar 

  4. P.M. Merlin, D.J. Farber, “A parallel Mechanism For Detecting Curves In Pictures”, IEEE Transactions on Computers 1975, pp 96-9.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer Science+Business Media New York

About this chapter

Cite this chapter

Cappellini, V., Fini, S., Harrigan, E., Mecocci, A. (1992). Circular Shape Detection in Remote Sensing Multispectral Images. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0715-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-0715-8_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-0717-2

  • Online ISBN: 978-1-4899-0715-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics