On the extension of multidimensional speckle noise model from single-look to multilook SAR imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 45, Issue 2, 2007, Pages 305-320

  López Martínez, Carlos ^a,b   Pottier, Eric ^a,c  

^a IEEE   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^c UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Covariance matrix; Interferometry; Multidimensional signal; Noise modeling; Polarimetry; Quantitative remote sensing; Speckle noise; Synthetic aperture radar (SAR)

Indexed keywords

COVARIANCE MATRIX; MULTIDIMENSIONAL SIGNAL; NOISE MODELING; QUANTITATIVE REMOTE SENSING; SPECKLE NOISE;

DATA REDUCTION; LIGHT SCATTERING; MATHEMATICAL MODELS; POLARIMETERS; SPURIOUS SIGNAL NOISE; SYNTHETIC APERTURE RADAR;

SPECKLE;

EID: 33846642146     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2006.887012     Document Type: Article

References (41)

1. J. C. Curlander and R. N. McDonough, Synthetic Aperture Radar: Systems and Signal Processing. New York: Wiley, 1991.
2. J. W. Goodman, "Some fundamental properties of speckle," J. Opt. Soc. Amer., vol. 66, no. 11, pp. 1145-1149, Nov. 1976.
3. _, Statistical Optics. New York: Wiley, 1984.
4. J.-S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Comput. Graph. Image Process., vol. 17, no. 1, pp. 24-32, Sep. 1981.
5. A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity,"IEEE Trans. Geosci. Remote Sens., vol. 28, no. 6, pp. 992-1000, Nov. 1990.
6. R. Bamler and P. Hartl, "Synthetic aperture radar interferometry," Inv. Probl., vol. 14, no. 4, pp. R1-R54, Aug. 1998.
7. C. H. Gierull, C. Livingstone, "SAR-GMTI concept for RADARSAT-2," in The Applications of Space-Time Processing, R. Klemm, Ed. Stevenage, U.K. :IEE Press, 2004.
8. F. T. Ulaby and C. Elachi, Radar Polarimetry for Geoscience Applications. Norwood, MA: Artech House, 1990.
9. C. López-Martínez and X. Fàbregas, "Polarimetric SAR speckle noise model," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 10, pp. 2232-2242, Oct. 2003.
10. C. López-Maitínez and E. POttier, "Topography independent InSAR coherence estimation in a multiresolution scheme," in Proc. IGARSS, Seoul, Korea, Jul. 2005, pp. 2689-2692.
11. _, "A framework for the analysis of speckle noise effects in multidimensional SAR imagery," in Proc. IGARSS, Seoul, Korea, Jul. 2005, pp. 4840-843.
12. C. López-Martínez, E. Portier, and S. R. Cloude, "Statistical assessment of eigenvector-based target decomposition theorems in radar polarimetry," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 9, pp. 2058-2074, Sep. 2005.
13. N. R. Goodman, "Statistical analysis based on a certain multivariate complex Gaussian distribution (an introduction)," Ann. Math. Stat., vol. 34, no. 1, pp. 152-177, Mar. 1963.
14. S. R. Cloude and E. Pottier, "A review of target decomposition theorems in radar polarimetry," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 2, pp. 498-518, Mar. 1996.
15. A. Reigber and A. Moreira, "First demonstration of airborne SAR tomography using multibaseline L-band data," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2142-2152, Sep. 2000.
16. K. Sarabandi, "Δk-radar equivalent of interferometric's SAR: A theoretical study for determination of vegetation height," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 5, pp. 1267-1275, Sep. 1997.
17. J.-S. Lee, M. R. Grunes, and S. A. Mango, "Speckle reduction in multipolarization, multifrequency SAR imagery," IEEE Trans. Geosci. Remote Sens., vol. 29, no. 4, pp. 535-544, Jul. 1991.
18. R. M. A. Azzam and N. M. Bashara, Ellipsometry and Polarized Light. Amsterdam, The Netherlands: Elsevier, 1987.
19. S. N. Madsen, "Modelling, analysis, and applications related to synthetic aperture radar data," Ph.D. dissertation, Tech. Univ. Denmark, Lyngby, Denmark, Nov. 1986.
20. R. L. Mitchel, "Models of extended targers and their coherence radar images," Proc. IEEE, vol. 62, no. 6, pp. 754-758, Jun. 1974.
21. C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images. Boston, MA: Artech House, 1998.
22. R. J. Q. Tough, D. Blacknell, and S. Quegan, "A statistical description of polarimetric and interferometric synthetic aperture radar data," Proc. R. Soc. Land. A, Math. Phys. Sci., vol. 449, no. 1937, pp. 567-589, Jun. 1995.
23. J.-S. Lee, K. W. Hoppel, and S. A. Mango, "Intensity and phase statistics of multilook polarimetric interferometric SAR imagery," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 5, pp. 1017-1028, Sep. 1994.
24. A. Lopés and F. Sery, "Optimal speckle reduction for the product model in multilook polarimetric SAR imagery and the Wishart distribution," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 3, pp. 632-647, May 1997.
25. J. Shou and H. Skriver, "Restoration of polarimetric SAR images using simulated annealing," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 9, pp. 2005-2016, Sep. 2001.
26. J.-S. Lee, M. R. Grunes, and G. de Grandi, "Polarimetric SAR speckle filtering and its impact for classification," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 5, pp. 2363-2373, Sep. 1999.
27. L. Ferro-Famil, E. Pottier, and J.-S. Lee, "Unsupervised classification of multifrequency and fully polarimetric SAR images based on the H/A/Alpha-Wishart classifier," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 11, pp. 2332-2342, Nov. 2001.
28. J.-S. Lee, M. R. Grunes, E. Portier, and L. Ferro-Famil, "Unsupervised terrain classification preserving polarimetric scattering characteristics," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 4, pp. 722-731, Apr. 2004.
29. J.-S. Lee, M. R. Granes, T. L. Ainsworth, L. J. Du, D. L. Schuler, and S. R. Cloude, "Unsupervised classification using polarimetric decomposition and the complex Wishart classifier," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2249-2258, Sep. 1999.
30. I. Reed, "On a moment theorem for complex Gaussian processes," IEEE Trans. Inf. Theory, vol. IT-8, no. 3, pp. 194-195, Apr. 1962.
31. G. Letac and H. Massam, "All invariant moments of the Wishart distribution," Scand. J. Stat., vol. 31, no. 2, pp. 295-318, Jun. 2004.
32. H. Krim, P. Forster, and J. G. Proakis, "Operator approach to performance analysis of root-MUSIC and root-min-norm," IEEE Trans. Signal Process., vol. 40, no. 7, pp. 1687-1696, Jul. 1992.
33. K. Sarabandi, "Derivation of phase statistics from the Müeller matrix," Radio Sci., vol. 27, no. 5, pp. 553-560, Sep. 1992.
34. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series and Products, 6th ed. San Diego, CA: Academic, 2000.
35. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions, 9th ed. New York: Dover, 1972.
36. J.-S. Lee, K. P. Papathanassiou, T. L. Ainsworth et al., "A new technique for noise filtering of SAR interferometric phase images," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 5, pp. 1456-1465, Sep. 1998.
37. N. M. Temme, "Large parameter cases of the Gauss hypergeometric function," J. Comput. Appl. Math., vol. 153, no. 1/2, pp. 441-462, Apr. 2003.
38. C. Lopez-Martínez and X. Fàbregas, "Modelling and reduction of SAR interferometric phase noise in the wavelet domain," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 12, pp. 2553-2566, Dec. 2002.
39. Y. L. Luke, The Special Functions and Their Approximations, vol. I. New York: Academic, 1969.
40. E. W. Weisstein, "Gamma function," in MathWorld-A Wolfram Web Resource. [Online], Available: http://mathworld.wolfram.com/ GammaFunction.html
41. N. M. Temme, "Uniform asymptotic expansion for a class of polynomials biorthogonal on the unit circle," Constr. Appmx., vol. 2, no. 1, pp. 369-376, Dec. 1986.