F. Argenti, A. Lapini, T. Bianchi, and L. Alparone, A tutorial on speckle reduction in Synthetic Aperture Radar images IEEE Geoscience and remote sensing magazine, pp.6-35, 2013.
DOI : 10.1109/mgrs.2013.2277512

URL : http://porto.polito.it/2515888/1/GRS_Mag_11_polito.pdf

R. Touzi, A review of speckle filtering in the context of estimation theory, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.11, pp.2392-2404, 2002.
DOI : 10.1109/TGRS.2002.803727

C. Deledalle, L. Denis, G. Poggi, F. Tupin, and L. Verdoliva, Exploiting Patch Similarity for SAR Image Processing: The nonlocal paradigm, IEEE Signal Processing Magazine, vol.31, issue.4, pp.69-78, 2014.
DOI : 10.1109/MSP.2014.2311305

URL : https://hal.archives-ouvertes.fr/ujm-00957334

J. Lee, Speckle analysis and smoothing of Synthetic Aperture Radar images Computer graphics and image processing, pp.24-32, 1981.
DOI : 10.1016/s0146-664x(81)80005-6

P. Meer, R. H. Park, and K. Cho, Multiresolution Adaptive Image Smoothing, CVGIP: Graphical Models and Image Processing, pp.140-148, 1994.
DOI : 10.1006/cgip.1994.1013

G. Vasile, E. Trouvé, J. Lee, and V. Buzuloiu, Intensity-driven adaptive-neighborhood technique for polarimetric and interferometric SAR parameters estimation, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.6, pp.1609-1621, 2006.
DOI : 10.1109/TGRS.2005.864142

URL : https://hal.archives-ouvertes.fr/hal-00164080

C. Deledalle, L. Denis, and F. Tupin, Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights, IEEE Transactions on Image Processing, vol.18, issue.12, pp.2661-2672, 2009.
DOI : 10.1109/TIP.2009.2029593

URL : https://hal.archives-ouvertes.fr/ujm-00431266

C. Deledalle, L. Denis, F. Tupin, M. A. Reigber, and . Jäger, NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.4, pp.2021-2038, 2015.
DOI : 10.1109/TGRS.2014.2352555

URL : https://hal.archives-ouvertes.fr/hal-00844118

S. Foucher, SAR Image Filtering Via Learned Dictionaries and Sparse Representations, IGARSS 2008, 2008 IEEE International Geoscience and Remote Sensing Symposium, p.229, 2008.
DOI : 10.1109/IGARSS.2008.4778835

URL : http://www.crim.ca/Publications/2008/documents/plein_texte/VIS_FouS_IGARSS2008.pdf

S. Parrilli, M. Poderico, C. Angelino, and L. Verdoliva, A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.2, pp.606-616, 2012.
DOI : 10.1109/TGRS.2011.2161586

K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang, Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising, IEEE Transactions on Image Processing, vol.26, issue.7, pp.3142-3155, 2017.
DOI : 10.1109/TIP.2017.2662206

URL : http://arxiv.org/pdf/1608.03981

G. Chierchia, D. Cozzolino, G. Poggi, and L. Verdoliva, SAR image despeckling through convolutional neural networks, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.
DOI : 10.1109/IGARSS.2017.8128234

URL : https://hal.archives-ouvertes.fr/hal-01710036

P. Wang, H. Zhang, and V. Patel, SAR Image Despeckling Using a Convolutional Neural Network, IEEE Signal Processing Letters, vol.24, issue.12, pp.1763-1767, 2017.
DOI : 10.1109/LSP.2017.2758203

URL : http://arxiv.org/pdf/1706.00552

A. Moreira, P. Prats-iraola, M. Younis, G. Krieger, I. Hajnsek et al., A tutorial on synthetic aperture radar, IEEE Geoscience and Remote Sensing Magazine, vol.1, issue.1, pp.6-43, 2013.
DOI : 10.1109/MGRS.2013.2248301

J. Lee, M. Grunes, and S. Mango, Speckle reduction in multipolarization, multifrequency SAR imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.29, issue.4, pp.535-544, 1991.
DOI : 10.1109/36.135815

S. Quegan, T. Le-toan, J. Yu, F. Ribbes, and N. Floury, Multitemporal ERS SAR analysis applied to forest mapping, IEEE Transactions on Geoscience and Remote Sensing, vol.38, issue.2, pp.741-753, 2000.
DOI : 10.1109/36.842003

S. Quegan and J. Yu, Filtering of multichannel SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.11, pp.2373-2379, 2001.
DOI : 10.1109/36.964973

D. Coltuc, E. Trouvé, F. Bujor, N. Classeau, and J. Rudant, Time-space filtering of multitemporal SAR images, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), pp.2909-2911, 2000.
DOI : 10.1109/IGARSS.2000.860286

G. Chierchia, M. Gheche, G. Scarpa, and L. Verdoliva, Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering, IEEE Transactions on Geoscience and Remote Sensing, vol.55, issue.10, 2017.
DOI : 10.1109/TGRS.2017.2707806

URL : https://hal.archives-ouvertes.fr/hal-01710027

T. Lê, A. Atto, E. Trouvé, and J. Nicolas, Adaptive multitemporal SAR image filtering based on the change detection matrix, IEEE Geoscience and Remote Sensing Letters, vol.11, issue.10, pp.1826-1830, 2014.

T. Lê, A. Atto, E. Trouvé, A. Solikhin, and V. Pinel, Change detection matrix for multitemporal filtering and change analysis of SAR and PolSAR image time series, ISPRS Journal of Photogrammetry and Remote Sensing, vol.107, pp.64-76, 2015.
DOI : 10.1016/j.isprsjprs.2015.02.008

X. Su, C. Deledalle, F. Tupin, and H. Sun, Two-step multitemporal nonlocal means for Synthetic Aperture Radar images, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.10, pp.6181-6196, 2014.

M. Ciuc, P. Bolon, E. Trouvé, V. Buzuloiu, and J. Rudant, Adaptive-neighborhood speckle removal in multitemporal synthetic aperture radar images, Applied Optics, vol.40, issue.32, pp.5954-5966, 2001.
DOI : 10.1364/AO.40.005954

S. Lobry, L. Denis, and F. Tupin, Multitemporal SAR Image Decomposition into Strong Scatterers, Background, and Speckle, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, issue.8, pp.3419-3429, 2016.
DOI : 10.1109/JSTARS.2016.2555579

URL : https://hal.archives-ouvertes.fr/ujm-01376896

J. Nicolas, E. Trouve, R. Fallourd, F. Vernier, F. Tupin et al., A first comparison of Cosmo-SkyMed and TerraSAR-X data over Chamonix Mont-Blanc test-site, 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.5586-5589, 2012.
DOI : 10.1109/IGARSS.2012.6352053

URL : https://hal.archives-ouvertes.fr/hal-00797185

X. Su, C. Deledalle, F. Tupin, and H. Sun, NORCAMA: Change analysis in SAR time series by likelihood ratio change matrix clustering, ISPRS Journal of Photogrammetry and Remote Sensing, vol.101, pp.247-261, 2015.
DOI : 10.1016/j.isprsjprs.2014.12.012

URL : https://hal.archives-ouvertes.fr/hal-00997786

L. Gomez, R. Ospina, and A. Frery, Unassisted Quantitative Evaluation of Despeckling Filters, Remote Sensing, vol.47, issue.4, p.389, 2017.
DOI : 10.1109/TNNLS.2015.2490080

URL : http://www.mdpi.com/2072-4292/9/4/389/pdf

G. Quin, B. Pinel-puyssegur, J. Nicolas, and P. Loreaux, MIMOSA: An Automatic Change Detection Method for SAR Time Series, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.9, pp.5349-5363, 2014.
DOI : 10.1109/TGRS.2013.2288271

J. Goodman, Speckle phenomena in optics: theory and applications, 2007.

C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar images, 2004.

C. Tison, J. Nicolas, F. Tupin, and H. Ma??trema??tre, A new statistical model for Markovian classification of urban areas in high-resolution SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.10, pp.2046-2057, 2004.
DOI : 10.1109/TGRS.2004.834630

URL : https://hal.archives-ouvertes.fr/hal-00556167

J. Nicolas and S. Anfinsen, Introduction to second kind statistics: Application of log-moments and log-cumulants to the analysis of radar image distributions, Trait. Signal, vol.19, issue.3, pp.139-167, 2002.

C. Deledalle, L. Denis, S. Tabti, and F. Tupin, MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction?, IEEE Transactions on Image Processing, vol.26, issue.9, 2017.
DOI : 10.1109/TIP.2017.2713946

URL : https://hal.archives-ouvertes.fr/hal-01388858

J. M. Bioucas-dias and M. A. Figueiredo, Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization, IEEE Transactions on Image Processing, vol.19, issue.7, pp.1720-1730, 2010.
DOI : 10.1109/TIP.2010.2045029

URL : http://arxiv.org/pdf/0912.1845

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering, IEEE Transactions on Image Processing, vol.16, issue.8, pp.2080-2095, 2007.
DOI : 10.1109/TIP.2007.901238

URL : http://sp.cs.tut.fi/publications/archive/Dabov2007-Image.pdf

R. Abergel, L. Denis, S. Ladjal, and F. Tupin, Sidelobes suppression and strong targets extraction in single look complex SAR images with several applications, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018.
DOI : 10.1109/jstars.2018.2790987

Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004.
DOI : 10.1109/TIP.2003.819861

URL : http://www.cns.nyu.edu/~zwang/files/papers/ssim.pdf

A. Buades, B. Coll, and J. Morel, A Non-Local Algorithm for Image Denoising, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.60-65, 2005.
DOI : 10.1109/CVPR.2005.38