SAR amplitude probability density function estimation based on a generalized Gaussian scattering model

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5573, Issue , 2004, Pages 307-318

  Moser, Gabriele ^a   Zerubia, Josiane ^b   Serpico, Sebastiano B ^a  

^a UNIVERSITY OF GENOA   (Italy)

^b UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

Author keywords

Generalized Gaussian; Parametric estimation; Probability density function; Synthetic Aperture Radar (SAR)

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; DATA REDUCTION; ELECTROMAGNETIC WAVE BACKSCATTERING; ELECTROMAGNETIC WAVE SCATTERING; GAUSSIAN NOISE (ELECTRONIC); IMAGE ANALYSIS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING; REMOTE SENSING; STATISTICAL METHODS;

GENERALIZED GAUSSIAN (GG); MELLIN TRANSFORMS; METHOD-OF-LOG-CUMULANTS (MOLC); PARAMETER ESTIMATION ALGORITHMS;

SYNTHETIC APERTURE RADAR;

EID: 17644373081     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.567853     Document Type: Conference Paper

References (32)

1. M. Cheney, "A mathematical tutorial on synthetic aperture radar," SIAM Review 43(2), 2001.
2. C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images, Artech House, Norwood, 1998.
3. J. Richards and X. Jia, Remote sensing digital image analysis, Springer-Verlag, Berlin, 1999.
4. K. Fukunaga, Introduction to statistical pattern recognition, 2nd edition, Academic Press, 1990.
5. H. L. V. Trees, Detection, estimation and modulation theory, vol. 1, John Wiley & Sons., New York, 1968.
6. E. E. Kuruoglu and J. Zerubia, "Modeling SAR images with a generalization of the Rayleigh distribution," IEEE Transactions on Image Processing 13(4), pp. 527-533, 2004.
7. J.-M. Nicolas, "Introduction aux statistiques de deuxième espéce: applications des log-moments et des log-cumulants a l'analyse des lois d'images radar," Traitement du Signal (in french) 19, 2002.
8. C. Tison, J.-M. Nicolas, and F. Tupin, "Accuracy of Fisher distributions and log-moment estimation to describe histograms of high-resolution SAR images over urban areas," in Proceedings of the IGARSS Conference, July 21-25, Toulouse (France), 2003.
9. C. M. Bishop, Neural networks for pattern recognition, 2nd edition, Oxford University Press, 1996.
10. P. Mantero, G. Moser, and S. B. Serpico, "Partially supervised classification of remote sensing images using SVM-based probability density estimation," in IEEE honorary workshop for Prof. D. A. Landgrebe, 27-28 October 2003 (in press), 2003.
11. V. N. Vapnik, Statistical Learning Theory, John Wiley and Sons Inc., 1998.
12. J. Weston, A. Gammerman, M. Stitson, V. Vapnik, V. Vovk, and C. Watkins, Support vector density estimation, pp. 293-306. in "Advances in Kernel Methods Support Vector Learning", B. Schlkopf, C. J. C. Burges, and A. J. Smola editors, MIT Press, Cambridge, MA, U.S.A., 1999.
13. A. Papoulis, Probability, Random Variables, and Stochastic Processes, 3rd edition, McGraw-Hill International Editions, 1991.
14. J. M. Nicolas, "Introduction aux statistiques de deuxième espéce: application aux lois d'images RSO (introduction to second kind statistics: applications to SAR images laws)," Research Report (in french) 2002D001, ENST, Paris, Feb. 2002.
15. I. Sneddon, The use of integral transforms, McGraw-Hill, New York, 1972.
16. I.-R. Joughin, D. P. Winebrenner, and D. B. Percival, "Probability density functions for multilook polarimetric signatures," IEEE Transactions on Geoscience and Remote Sensing 32(3), 1994.
17. G. K. Karagiannidis, D. A. Zogas, and S. A. Kotsopoulos, "On the multivariate Nakagami-m distribution with exponential correlation," IEEE Transactions on Communications 51(8), pp. 1240-1244, 2003.
18. J.-S. Lee, K. W. Hoppel, S. A. Mango, and A. R. Miller, "Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery," IEEE Transactions on Geoscience and Remote Sensing 32(5), 1994.
19. E. Jakeman and P. N. Pusey, "A model for non-Rayleigh sea echo," IEEE Transactions on Antennas and Propagation 24, pp. 806-814, 1976.
20. E. Jakeman and P. N. Pusey, "Significance of K distributions in scattering experiments," Phys. Rev. Lett. 40, pp. 546-550, 1978.
21. Y. Delignon and W. Pieczynski, "Modelling non-Rayleigh speckle distribution in SAR images," IEEE Transactions on Geoscience and Remote Sensing 40(6), pp. 1430-1435, 2002.
22. C. J. Oliver, "Correlated K-distributed scattering model," Opt. Acta 32, pp. 1515-1547, 1985.
23. S. H. Yueh and J. A. Kong, "K distribution and polarimetric terrain radar clutter," J. Electromagn. Waves Applicat. 3(8), pp. 747-768, 1999.
24. +," in Proceedings of the EUSIPCO Conference, Tampere (Finland), 2000.
25. A. Tesei and C. S. Regazzoni, "HOS-based generalized noise PDF models for signal detection optimization," Signal Processing 65, pp. 267-281, 1998.
26. C. Bouman and K. Sauer, "A generalized Gaussian image model for edge-preserving map estimation," IEEE Transactions on Image Processing 2, pp. 296-310, 1993.
27. P. Moulin and J. Liu, "Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors," IEEE Trans. on Information Theory 45, pp. 909-919, 1999.
28. S. Mallat, A wavelet tour of signal processing, Academic Press, 1999.
29. E. P. Simoncelli and E. H. Adelson, "Noise removal via Bayesian wavelet coring," in Proceedings of the Third IEEE International Conference on Image Processing, 1, pp. 379-382, 1996.
30. G. Moser, J. Zerubia, and S. B. Serpico, "SAR amplitude probability density function estimation based on a generalized Gaussian scattering model," Research Report 5153, INRIA, Mar. 2004.
31. S. B. Serpico, L. Bruzzone, and F. Roli, "An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote sensing images," Pattern Recognition Letters 17, pp. 1331-1341, 1996.
32. M. Datcu, K.Seidel, and M. Walessa, "Spatial information retrieval from remote sensing images: Part I. information theoretical perspective," IEEE Transactions on Geoscience and Remote Sensing 36, pp. 1431-1445, 1998.