Exploiting patch similarity for SAR image processing: The nonlocal paradigm

IEEE Signal Processing Magazine

Volumn 31, Issue 4, 2014, Pages 69-78

  Deledalle, Charles Alban ^a   Denis, Loic ^b   Poggi, Giovanni ^c   Tupin, Florence ^d   Verdoliva, Luisa ^c  

^a CNRS   (France)

^b UNIVERSITÉ JEAN MONNET   (France)

^c UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^d INSTITUT TELECOM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; INTERFEROMETRY; POLARIMETERS; RADAR; RADAR SIGNAL PROCESSING; SPECKLE; SYNTHETIC APERTURE RADAR;

HIGH RESOLUTION IMAGE; MULTI-CHANNEL SAR IMAGES; NONLOCAL FILTERING; PATCH-BASED METHODS; SAR IMAGE PROCESSING; SPATIAL RESOLUTION; SPECKLE PHENOMENON; WEALTH OF INFORMATION;

RADAR IMAGING;

EID: 85032752474     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2014.2311305     Document Type: Article

References (30)

1. F. Argenti, A. Lapini, L. Alparone, and T. Bianchi, "A tutorial on speckle reduction in synthetic aperture radar images," IEEE Geosci. Remote Sens. Mag., vol. 1, pp. 6-35, Sept. 2013.
2. R. Touzi, "A review of speckle filtering in the context of estimation theory," IEEE Trans. Geosci. Remote Sensing, vol. 40, no. 11, pp. 2392-2404, 2002.
3. J. S. Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE Trans. Pattern Anal. Mach. Intell., vol. 2, no. 2, pp. 165-168, 1980.
4. L. Denis, F. Tupin, J. Darbon, and M. Sigelle, "Joint regularization of phase and amplitude of In SAR data: Application to 3D reconstruction," IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 11, pp. 3774-3785, 2009.
5. A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling," IEEE Trans. Geosci. Remote Sensing, vol. 41, no. 8, pp. 1773-1784, 2003.
6. G. Vasile, E. Trouvé, and J. Lee, "Intensity-driven adaptive-neighborhood technique for polarimetric and interferometric SAR parameters estimation," IEEE Trans. Geosci. Remote Sensing, vol. 44, no. 6, pp. 1609-1621, 2006.
7. J. S. Lee, "Digital image smoothing and the sigma filter," Comput. Vis. Graph. Image Process., vol. 24, no. 2, pp. 255-269, 1983.
8. A. Buades, B. Coll, and J. M. Morel, "A review of image denoising algorithms, with a new one," Multiscale Modell. Simul., vol. 4, no. 2, pp. 490-530, 2005. (Pubitemid 43890582)
9. C.-A. Deledalle, L. Denis, and F. Tupin, "Iterative weighted maximum likelihood denoising with probabilistic patch-based weights," IEEE Trans. Image Processing, vol. 18, no. 12, pp. 2661-2672, 2009.
10. H. Zhong, Y. Li, and L. Jiao, "SAR image despeckling using Bayesian nonlocal means filter with sigma preselection," IEEE Geosci. Remote Sensing Lett., vol. 8, no. 4, pp. 809-813, 2011.
11. S. Parrilli, M. Poderico, C. V. Angelino, and L. Verdoliva, "A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage," IEEE Trans. Geosci. Remote Sensing, vol. 50, no. 2, pp. 606-616, 2012.
12. J. Chen, Y. Chen, W. An, Y. Cui, and J. Yang, "Nonlocal filtering for polarimetric SAR data: A pretest approach," IEEE Trans. Geosci. Remote Sensing, vol. 49, no. 5, pp. 1744-1754, 2011.
13. C.-A. Deledalle, L. Denis, and F. Tupin, "NL-InSAR: Nonlocal interferogram estimation," IEEE Trans. Geosci. Remote Sensing, vol. 49, no. 4, pp. 1441-1452, 2011.
14. C.-A. Deledalle, L. Denis, F. Tupin, A. Reigbers, and M. Jäger, "NL-SAR: A unified non-local framework for resolution-preserving (Pol)(In)SAR denoising," Preprint HAL-hal-00844118, 2013. [Online]. Available: http://hal.archives-ouvertes.fr/hal-00844118
15. A. Moreira, P. Prats-Iraola, M. Younis, G. Krieger, I. Hajnsek, and K. Papathanassiou, "A tutorial on synthetic aperture radar," IEEE Geosci. Remote Sens. Mag., vol. 1, no. 1, pp. 6-43, 2013.
16. A. Lopes, R. Touzi, and E. Nezry, "Adaptative speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sensing, vol. 28, no. 6, pp. 992-1000, 1990.
17. F. Argenti, T. Bianchi, and L. Alparone, "Multiresolution MAP despeckling of SAR images based on locally adaptive generalized Gaussian PDF modeling," IEEE Trans. Image Processing, vol. 15, no. 11, pp. 3385-3399, 2006. (Pubitemid 44615135)
18. H. Xie, L. E. Pierce, and F. T. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling," IEEE Trans. Geosci. Remote Sensing, vol. 40, no. 10, pp. 2196-2212, Jan. 2002.
19. S. Foucher, G. B. Bénié, and J. M. Boucher, "Multiscale MAP filtering of SAR images," IEEE Trans. Image Processing, vol. 10, no. 1, pp. 49-60, Jan. 2001. (Pubitemid 32136880)
20. L. Torres, S. J. S. Sant'Anna, C. da Costa Freitas, and A. C. Frery, "Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means," Pattern Recognit., vol. 47, no. 1, pp. 141-157, Jan. 2014. [Online]. Available: http://dx.doi. org/10.1016/j.patcog.2013.04.001
21. C. Deledalle, L. Denis, and F. Tupin, "How to compare noisy patches Patch similarity beyond Gaussian noise," Int. J. Comput. Vis., vol. 99, no. 1, pp. 86-102, 2012.
22. K. Conradsen, A. A. Nielsen, J. Schou, and H. Skriver, "A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data," IEEE Trans. Geosci. Remote Sensing, vol. 41, no. 1, pp. 4-19, 2003.
23. G. Poggi, F. Sica, L. Verdoliva, G. Fornaro, D. Reale, and S. Verde, "Non-local methods for filtering interferometric SAR datasets," in Proc. TyWRRS: From Earth Observation to Homeland Security, 2012, pp. 136-139.
24. G. Liu and H. Zhong, "Nonlocal means filter for polarimetric SAR data despeckling based on discriminative similarity measure," IEEE Geosci. Remote Sensing Lett., vol. 11, no. 2, pp. 514-518, 2014.
25. O. D'Hondt, S. Guillaso, and O. Hellwich, "Iterative bilateral filtering of polarimetric SAR data," vol. 6, no. 3, pp. 1628-1639, 2013.
26. J.-S. Lee, J.-H. Wen, T. L Ainsworth, K.-S. Chen, and A. J Chen, "Improved sigma filter for speckle filtering of SAR imagery," IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 1, pp. 202-213, 2009.
27. C. Kervrann, J. Boulanger, and P. Coupé, "Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal," in Scale Space and Variational Methods in Computer Vision. New York: Springer, 2007, pp. 520-532. (Pubitemid 350269823)
28. M. Makitalo, A. Foi, D. Fevralev, and V. Lukin, "Denoising of single-look SAR images based on variance stabilization and nonlocal filters," in Int. Conf. Mathematical Methods in Electromagnetic Theory. Piscataway, NJ: IEEE, 2010.
29. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Processing, vol. 16, no. 8, 2007.
30. G. Di Martino, M. Poderico, G. Poggi, D. Riccio, and L. Verdoliva, "Benchmarking framework for SAR despeckling," IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 3, 2014.