OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 2 — Jan. 10, 2004
  • pp: 264–273

Detection of linear features in synthetic-aperture radar images by use of the localized Radon transform and prior information

Vincent-de-Paul Onana, Emmanuel Trouvé, Gilles Mauris, Jean-Paul Rudant, and Emmanuel Tonyé  »View Author Affiliations


Applied Optics, Vol. 43, Issue 2, pp. 264-273 (2004)
http://dx.doi.org/10.1364/AO.43.000264


View Full Text Article

Enhanced HTML    Acrobat PDF (1837 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

A new linear-features detection method is proposed for extracting straight edges and lines in synthetic-aperture radar images. This method is based on the localized Radon transform, which produces geometrical integrals along straight lines. In the transformed domain, linear features have a specific signature: They appear as strongly contrasted structures, which are easier to extract with the conventional ratio edge detector. The proposed method is dedicated to applications such as geographical map updating for which prior information (approximate length and orientation of features) is available. Experimental results show the method’s robustness with respect to poor radiometric contrast and hidden parts and its complementarity to conventional pixel-by-pixel approaches.

© 2004 Optical Society of America

OCIS Codes
(100.5010) Image processing : Pattern recognition
(280.6730) Remote sensing and sensors : Synthetic aperture radar

History
Original Manuscript: April 15, 2003
Revised Manuscript: July 30, 2003
Published: January 10, 2004

Citation
Vincent-de-Paul Onana, Emmanuel Trouvé, Gilles Mauris, Jean-Paul Rudant, and Emmanuel Tonyé, "Detection of linear features in synthetic-aperture radar images by use of the localized Radon transform and prior information," Appl. Opt. 43, 264-273 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-2-264


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. C. Oliver, S. Quegan, Understanding Synthetic Aperture Radar Images (Artech House, Norwood, Mass., 1998).
  2. J.-P. Rudant, F. Baltzer, J.-P. Deroin, M. Lointier, H. Maı̂tre, E. Mougin, C. Pénicand, M.-T. Prost, “ERS-1 and JERS-1 Satellite image contribution to general and thematic mapping in the tropical rain forest context, examples in french Guiana and in bordering regions,” Bull. Soc. Fr. Photogramm. Teledetect. 142, 15–31 (1996).
  3. R. Touzi, A. Lopes, P. Bousquet, “A statistical and geometrical edge detector for SAR images,” IEEE Trans. Geosci. Remote Sens. 26, 764–773 (1988). [CrossRef]
  4. A.-C. Bovik, “On detecting edges in speckled imagery,” IEEE Trans. Acoust. Speech Signal Process. 36, 1618–1627 (1988). [CrossRef]
  5. F. Tupin, H. Maı̂tre, J-F. Mangin, J.-M. Nicolas, E. Pechersky, “Detection of linear features in SAR images: applications to road network extraction,” IEEE Trans. Geosci. Remote Sens. 36, 434–453 (1998). [CrossRef]
  6. J. Radon, “On the determination of function from their integrals along certain manifolds,” Ber. Saechs. Akad. Wiss. Leipzig Math. Phys. Kl. 69, 262–277 (1917).
  7. P.-V.-C. Hough, “Method and means of recognizing complex patterns,” U.S. patent3,069,654 (18December, 1962).
  8. S.-R. Deans, “Hough transform from the radon transform,” IEEE Trans. Pattern Anal. Mach. Intell. 3, 185–188 (1981). [CrossRef] [PubMed]
  9. A.-C. Kak, M. Slaney, Principles of Computerized Tomographic Imaging (IEEE Press, New York, 1988).
  10. G.-T. Herman, “Image reconstruction from projections,” in The Fundamentals of Computerized Tomography (Springer-Verlag, New York, 1980).
  11. M.-T. Rey, J.-K. Tunaley, J.-T. Folinsbee, P.-A. Jahans, J.-A. Dixon, M.-R. Vant, “Application of Radon transform techniques to wake detection in Seasat-A SAR images,” IEEE Trans. Geosci. Remote Sens. 28, 553–560 (1990). [CrossRef]
  12. T.-S. Durrani, D. Bisset, “The Radon transform and its properties,” Geophysics 49, 1180–1187 (1984); errata 50, 884–886 (1985). [CrossRef]
  13. P.-A. Toft, K.-V. Hansen, “Fast Radon transform for detection of seismic reflections,” in Signal Processing VII: Theories and Applications, M. J. J. Holt, C. F. N. Cowan, P. M. Grant, W. A. Sandham, eds. (n.p., 1994), Vol. I, pp. 229–232.
  14. A.-C. Copeland, G. Ravichandran, M.-M. Trivedi, “Localized Radon transform-based detection of ship wakes in SAR images,” IEEE Trans. Geosci. Remote Sens. 33, 35–45 (1995). [CrossRef]
  15. I.-I. Lin, L. K. Kwoh, Y.-C. Lin, V. Khoo, “Ship and ship wake detection in the ERS SAR imagery using computer-based algorithm,” Igarss 197: 1977 IEEE International Geoscience and Remote Sensing Symposium Proceedings, T. I. Stein, ed. (IEEE, New York, 1997), pp. 151–153.
  16. D. Ludwig, “The Radon transform in Euclidean space,” Commun. Pure Appl. Math. 19, 49–81 (1966). [CrossRef]
  17. S.-R. Deans, The Radon Transform and Some of Its Applications, 2nd ed. (Krieger, Malabar, Fla., 1993).
  18. S. Stergios, Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real-Time Systems, Electrical Engineering and Signal Processing Series (Lewis, Boca Raton Fla., 2001).
  19. O. Germain, P. Réfrégier, “Edge location in SAR images: performance of the likelihood ratio filter and accuracy improvement with an active contour approach,” IEEE Trans. Image Process. 10, 72–78 (2001). [CrossRef]
  20. J. W. Goodman, Statistical Properties of Laser Speckle Patterns, 2nd ed. (Springer-Verlag, New York, 1984).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited