A textural-contextual model for unsupervised segmentation of multipolarization synthetic aperture radar images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 4, 2013, Pages 2442-2453

  Akbari, Vahid ^a   Doulgeris, Anthony P ^a   Moser, Gabriele ^b   Eltoft, Torbjorn ^a   Anfinsen, Stian N ^a   Serpico, Sebastiano B ^b  

^a UNIVERSITY OF TROMSØ   (Norway)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

K Wishart distribution; Markov random field (MRF); polarimetric synthetic aperture radar (PolSAR); stochastic expectation maximization (SEM); unsupervised segmentation

Indexed keywords

K-WISHART DISTRIBUTION; MARKOV RANDOM FIELDS; POLARIMETRIC SYNTHETIC APERTURE RADARS; STOCHASTIC EXPECTATION MAXIMIZATION; UNSUPERVISED SEGMENTATION;

ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); MARKOV PROCESSES; MAXIMUM PRINCIPLE; PARAMETER ESTIMATION; POLARIMETERS; STOCHASTIC SYSTEMS; SYNTHETIC APERTURE RADAR;

IMAGE SEGMENTATION;

DATA SET; IMAGE CLASSIFICATION; NUMERICAL MODEL; PARAMETERIZATION; SMOOTHING; SPATIAL DISTRIBUTION; STOCHASTICITY; SYNTHETIC APERTURE RADAR; UNSUPERVISED CLASSIFICATION;

EID: 84875698943     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2211367     Document Type: Article

References (39)

1. S. R. Cloude and E. Pottier, "An entropy based classification scheme for land applications of polarimetric SAR," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 1, pp. 68-78, Jan. 1997. (Pubitemid 127771044)
2. J. J. van Zyl, "Unsupervised classification of scattering mechanisms using radar polarimetry data," IEEE Trans. Geosci. Remote Sens., vol. 27, no. 1, pp. 36-45, Jan. 1989.
3. J.-S. Lee, M. Grunes, and R. Kwok, "Classification of multi-look polarimetric SAR imagery based on the complex Wishart distribution," Int. J. Remote Sens., vol. 15, no. 11, pp. 2299-2311, Jul. 1994.
4. C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images, 2nd ed. Raleigh, NC: SciTech Publ., 2004.
5. J.-S. Lee, D. L. Schuler, R. H. Lang, and K. J. Ranson, "K-distribution for multi-look processed polarimetric SAR imagery," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Pasedena, CA, 1994, pp. 2179-2181.
6. C. C. Freitas, A. C. Frery, and A. H. Correia, "The polarimetric G distribution for SAR data analysis," Environmetrics, vol. 16, no. 1, pp. 13-31, Feb. 2005. (Pubitemid 40141388)
7. A. P. Doulgeris, S. N. Anfinsen, and T. Eltoft, "Automated non-Gaussian clustering of polarimetric synthetic aperture radar images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3665-3676, Oct. 2011.
8. A. C. Frery, A. H. Correia, and A. C. Frery, "Classifying multifrequency fully polarimetric imagery with multiple sources of statistical evidence and contextual information," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3098-3109, Oct. 2007.
9. V. A. Krylov, G. Moser, S. B. Serpico, and J. Zerubia, "Supervised high resolution dual polarization SAR image classification by finite mixtures and copulas," IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 554-566, Jun. 2011.
10. A. P. Doulgeris, S. Anfinsen, and T. Eltoft, "Classification with a non-Gaussian model for PolSAR data," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 10, pp. 2999-3009, Oct. 2008.
11. S. B. Serpico and G. Moser, "Weight parameter optimization by the Ho-Kashyap algorithm in MRF models for supervised image classification," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 12, pp. 3695-3705, Dec. 2006. (Pubitemid 44955568)
12. G. Moser and S. B. Serpico, "Unsupervised change detection from multichannel SAR data by Markovian data fusion," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2114-2128, Jul. 2009.
13. A. H. Solberg, T. Taxt, and A. K. Jain, "A Markov random field model for classification of multisource satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 1, pp. 100-113, Jan. 1996. (Pubitemid 126780863)
14. A. Reigber, M. Jager, M. Neumann, and L. Ferro-Famil, "Classifying polarimetric SAR data by combining expectation methods with spatial context," Int. J. Remote Sens., vol. 31, no. 3, pp. 727-744, Apr. 2010.
15. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-6, no. 6, pp. 721-741, Nov. 1984. (Pubitemid 15453722)
16. R. Fjørtoft, Y. Delignon, W. Pieczynski, M. Sigelle, and F. Tupin, "Unsupervised classification of radar images using hidden Markov chains and hidden random fields," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 3, pp. 675-686, Mar. 2003.
17. Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MR images through a hidden Markov random field model and the expectationmaximization algorithm," IEEE Trans. Med. Imag., vol. 20, no. 1, pp. 45-57, Jan. 2001. (Pubitemid 32293419)
18. J. Schou 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. (Pubitemid 32981696)
19. G. Celeux and J. Diebolt, "The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem," Comput. Stat. Q., vol. 2, no. 1, pp. 73-82, 1985.
20. S. Li, Markov Random Field Modeling in Image Analysis, 3rd ed. London, U.K.: Springer-Verlag, 2009.
21. M. V. Ibanez and A. Simo, "Parameter estimation in Markov random field image modeling with imperfect observations. A comparative study," Pattern Recognit. Lett., vol. 24, no. 14, pp. 2377-2389, Oct. 2003. (Pubitemid 36911081)
22. G. Moser, J. Zerubia, and S. B. Serpico, "Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 1, pp. 188-200, Jan. 2006. (Pubitemid 43146077)
23. P. R. Kersten, J. S. Lee, and T. L. Ainsworth, "Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 516-527, Mar. 2005.
24. S. N. Anfinsen and T. Eltoft, "Application of the matrix-variate Mellin transform to analysis of polarimetric radar images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2281-2295, Jun. 2011.
25. C. Tison, J.-M. Nicolas, F. Tupin, and H. Maitre, "A new statistical model for Markovian classification of urban areas in high-resolution SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 10, pp. 2046-2057, Oct. 2004.
26. S. N. Anfinsen, "Statistical analysis of multilook polarimetric radar images with the Mellin transform," Ph.D. dissertation, Univ. Tromsø, Tromsø, Norway, May, 2010.
27. J.-M. Nicolas, "Introduction aux statistique de deuxième espèce: Application des logs-moments et des logs-cumulants à l'analyse des lois d'images radar," Traitement du Signal, vol. 19, no. 3, pp. 139-167, 2002, In French, English translation in
28. S. N. Anfinsen and T. Eltoft, "Analysis of multilook polarimetric radar data with the matrix-variate Mellin transform," in Proc. EUSAR, Aachen, Germany, Jun. 7-10, 2010, 4 p.
29. G. Celeux, F. Forbes, and N. Peyrand, "EM procedures using mean field-like approximations for Markov model-based image segmentation," Pattern Recognit., vol. 36, no. 1, pp. 131-144, Jan. 2003.
30. S. Geman and D. Gemanm, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-6, no. 6, pp. 721-741, Nov. 1984. (Pubitemid 15453722)
31. A. L. M. Levada, D. A. Mascarenhas, and A. Tannus, "Pseudolikelihood equations for Potts MRF model parameter estimation on higher order neighborhood systems," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 522-526, Jul. 2008.
32. J. E. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. Roy. Stat. Soc. Ser. B, vol. 36, no. 2, pp. 192-236, 1974.
33. L. Wang, J. Liu, and S. Z. Li, "MRF parameter estimation by MCMC method," Pattern Recognit., vol. 33, no. 11, pp. 1919-1925, Nov. 1999.
34. Y. Yu and Q. Cheng, "MRF parameter estimation by an accelerated method," Pattern Recognit. Lett., vol. 24, no. 9/10, pp. 1251-1259, Jun. 2003. (Pubitemid 36225840)
35. Q. Jackson and D. Landgrebe, "Adaptive Bayesian contextual classification based on Markov random fields," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 11, pp. 2454-2463, Nov. 2002.
36. S. N. Anfinsen, A. P. Doulgeris, and T. Eltoft, "Estimation of the equivalent number of looks in polarimetric synthetic aperture radar imagery," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3795-3809, Nov. 2009.
37. X. Song, Z. Duan, and X. Jiang, "Comparison of artificial neural networks and support vector machine classifiers for land cover classification in Northern China using a SPOT-5 HRG image," Int. J. Remote Sens., vol. 33, no. 10, pp. 3301-3320, May 2012.
38. A. P. Doulgeris, S. N. Anfinsen, Y. Larsen, K. Langley, and T. Eltoft, "Evaluation of polarimetric configuration for glacier classification," in Proc. POLinSAR, Frascati, Italy, Jan. 2009, 8 p.
39. R. G. Congalton and R. A. Mead, "A review of three discrete multivariate analysis techniques used in assessing the accuracy of remotely sensed data from error matrices," IEEE Trans. Geosci. Remote Sens., vol. GE-24, no. 1, pp. 169-174, Jan. 1986.