Skip to main content
Log in

Man-Made Change Detection Using High-Resolution Cosmo-SkyMed SAR Interferometry

  • Research Article - Earth Sciences
  • Published:
Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

The technique of coherent change detection (CCD) in repeat-pass synthetic aperture radar (SAR) imagery has the potential to detect very subtle scene changes. With the advent of high-resolution space-borne SAR images, CCD has received a lot of interest. In CCD, the interferometric coherence is evaluated and analyzed to detect changes. The sample coherence estimator is biased, especially for low-coherence values, which complicates CCD map analysis and interpretation. The bias decreases when the number of samples used to evaluate the coherence increases. However, a large number of samples causes the loss of the small size changes. In this work, an adaptive method for coherence estimation is described and evaluated. The local fringe frequency is used as an additional change indicator to adapt the number of samples used to estimate the coherence. The results obtained using Cosmo-SkyMed (CSK) SAR images indicate that the proposed adaptive method improves detection performance while preserving the small size changes.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Zebker H.A., Goldstein R.M.: Topographic mapping from interferometric synthetic aperture radar observations. J. Geophys. Res. 9(5), 4993–4999 (1986)

    Article  Google Scholar 

  2. Massonnet D., Rossi M., Carmona C. et al.: The displacement field of the Landers earthquake mapped by radar interferometry. Nature 364, 138–142 (1993)

    Article  Google Scholar 

  3. Preiss M., Gray D.A., Stacy N.J.S.: Detecting scene changes using synthetic aperture radar interferometry. IEEE Trans. Geosci. Remote Sens. 44(8), 2041–2054 (2005)

    Article  Google Scholar 

  4. Zebker H.A., Villasenor J.: Decorrelation in interferometric radar echoes. IEEE Trans. Geosci. Remote Sens. 30(5), 950–959 (1992)

    Article  Google Scholar 

  5. Bamler R., Hartl P.: Synthetic aperture radar interferometry. Inverse Probl. 14(4), R1–43 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Rignot E.J.M., Zyl J.J.V.: Change detection techniques for ERS-1 SAR data. IEEE Trans. Geosci. Remote Sens. 31(4), 896–906 (1993)

    Article  Google Scholar 

  7. Boli X., Jing M.C., Gangyao K.: A change detection measure based on a likelihood ratio and statistical properties of SAR intensity images. Remote Sens. Lett. 3(3), 267–275 (2012)

    Article  Google Scholar 

  8. David A.Y., Banjamin F.J.: Repeat-pass dual-antenna synthetic aperture radar interferometric change detection post-processing. Photogramm. Eng. Remote. Sensing 65(5), 425–429 (1998)

    Google Scholar 

  9. Corr D.G., Rodrigues A.: Coherent change detection of vehicle movements. Proc. IGARSS 5, 2451–2453 (1998)

    Google Scholar 

  10. Preiss, M.; Stacy, N.J.S.: Scene coherency at X-band from repeat pass polarimetric interferometry. IEEE Trans. Geosci. Remote Sens. Symp. 2, 1081–1084 (2005)

  11. Sabry R.: A new coherency formalism for change detection and phenomenology in SAR imagery: a field approach. IEEE Trans. Geosci. Remote Sens. Lett. 6(3), 458–462 (2009)

    Article  MathSciNet  Google Scholar 

  12. Bouaraba A., Younsi A., Belhadj-Aissa A., Acheroy M., Milisavljevic N., Closson D.: Robust techniques for coherent change detection using Cosmo-SkyMed SAR images. Prog. Electromagn. Res. M 22, 219–232 (2012)

    Article  Google Scholar 

  13. Bouaraba A., Borghys D., Belhadj-Aissa A., Acheroy M., Closson D.: Improving CCD performance by the use of local fringe frequencies. Prog. Electromagn. Res. C 32, 123–137 (2012)

    Article  Google Scholar 

  14. Touzi R., Lopes A., Bruniquel J., Vachon P.W.: Coherence estimation for SAR imagery. IEEE Trans. Geosci. Remote Sens. 37(1), 135–149 (1999)

    Article  Google Scholar 

  15. Martinez C.L.: Coherence estimation in synthetic aperture radar data based on speckle noise modeling. Appl. Opt. 46(4), 544–558 (2007)

    Article  Google Scholar 

  16. Suo Z., Li Z., Bao Z.: A new strategy to estimate local fringe frequencies for InSAR phase noise reduction. IEEE Trans. Geosci. Remote Sens. Lett. 7(40), 771–775 (2010)

    Article  Google Scholar 

  17. Trouvé E., Nicholas J.M., Maitre H.: Improving phase unwrapping techniques by the use of local frequency estimates. IEEE Trans. Geosci. Remote Sens. 36(6), 1963–1972 (1998)

    Article  Google Scholar 

  18. Vasile G., Trouvé E., Petillot I. et al.: High-resolution SAR interferometry: Estimation of local frequencies in the context of alpine glaciers. IEEE Trans. Geosci. Remote Sens. 46(4), 1079–1090 (2008)

    Article  Google Scholar 

  19. Spagnolini U.: 2-D phase unwrapping and instantaneous frequency estimation. Geosci. Remote Sens. 33(5), 579–589 (1995)

    Article  Google Scholar 

  20. Trouvé E., Caramma M., Maitre H.: Fringe detection in noisy complex interferograms. Appl. Opt. 35(20), 3799–3806 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Azzedine Bouaraba.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bouaraba, A., Belhadj-Aissa, A. & Closson, D. Man-Made Change Detection Using High-Resolution Cosmo-SkyMed SAR Interferometry. Arab J Sci Eng 41, 201–208 (2016). https://doi.org/10.1007/s13369-015-1736-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13369-015-1736-4

Keywords

Navigation