Lee JS (1980) Digital image enhancement and noise filtering by use of local statistics. IEEE Trans Pattern Anal Mach Intell PAMI-2(2):165–168
Google Scholar
Lee J-S (1981) Speckle analysis and smoothing of synthetic aperture radar images. Comput Graph Image Process 17(1):24–32
Google Scholar
Lee J-S (1986) Speckle suppression and analysis for synthetic aperture radar images. Opt Eng 25(5):636–643
Google Scholar
Translation Bureau (2013) Radar definition. Public Works and Government Services Canada
McGraw-Hill dictionary of scientific and technical terms. (1976) Daniel N. Lapedes, editor in chief. New York; Montreal : McGraw-Hill,[xv], 1634, A26 p
Abbreviations and acronyms. Navy dot MIL. United States Navy. Retrieved 9 August 2017
Small and Short-Range Radar Systems. CRC Net Base. Retrieved 9 August 2017
Real Aperture Radar. Available at: http://wtlab.iis.u-tokyo.ac.jp/~wataru/lecture/rsgis/rsnote/cp4/cp4-2.htm
Microwave Remote Sensing, Synthetic Aperture Radar (SAR). Available at: https://crisp.nus.edu.sg/~research/tutorial/mw.htm
What is Synthetic Aperture Radar (SAR)?, Sandia National Laboratories. Available at: http://www.sandia.gov/radar/what_is_sar/
Synthetic Aperture Radar. Available at: http://wtlab.iis.u-tokyo.ac.jp/~wataru/lecture/rsgis/rsnote/cp4/cp4-3.htm
Cheney, Margaret (2009) Problems in synthetic-aperture radar imaging. Inverse Problems 25. Available at: http://hdl.handle.net/10945/43818
Ranga Rao MS, Mahaptra PR (1997) Synthetic aperture radar: a focus on current problems. Def Sci J 47(4):517–536
Google Scholar
Creating a SAR Image. Available at: http://www.pbs.org/wgbh/nova/spiesfly/rada_creating.html
Choo AL, Chan YK, Koo VC (2012) Geometric Correction on SAR Imagery. Progress In Electromagnetics Research Symposium Proceedings, KL, Malaysia, March 27–30
Toutin T (2004) Review article: geometric processing of remote sensing images: models, algorithms and methods. Int J Remote Sens 25(10):1893–1924
Google Scholar
Cheney, Margaret. Introduction to Synthetic Aperture Radar (SAR) and SAR Interferometry. JPL. Available at: http://southport.jpl.nasa.gov/scienceapps/dixon/report2.html
Sarti F. Remote sensing and SAR images processing, characterization and speckle filtering in radar images. Available: https://earth.esa.int/c/document_library/get_file?folderId=226458&name=DLFE-2125.pdf
Birgir BS,Johannes RS, Benediktsson JA (2004) Combined wavelet and curvelet denoising of SAR images. In: Proceedings of IEEE 2004
Bhattacharya A. Speckle Filtering/Speckle Statistics, (Slide courtesy Prof. E. Pottier and Prof. L. Ferro-Famil)
Anil KJ (1989) Fundamentals of digital image processing, 1st edn. Prentice Hall, Inc, New Jersey
MATH
Google Scholar
Chen G, Liu X (2005) Wavelet-based despeckling SAR images using neighbouring wavelet coefficients. In: Proceedings of IEEE 2005
Sathit Intajag and Sakreya Chitwong. (2006) Speckle noise estimation with generalized gamma distribution. SICE-ICASE International Joint Conference 2006 Oct. 18–2 1, 2006 in Bexco, Busan, Korea
Oliver C, Quegan S (1998) Understanding synthetic aperture radar images. Artech House, Boston
Google Scholar
Bianchi T, Argenti F, Alparone L (2008) Segmentation-based map despeckling of SAR images in the undecimated wavelet domain. IEEE Trans Geosci Remote Sens 46(9):2728–2742
Google Scholar
Dainty JC (1976) The statistics of speckle patterns. E. Wolf, Progress in Optics XIV © North-Holland
Ulaby FT, Moore RK, Fung AK (1986) Microwave remote sensing, Active and Passive, Volume III. from Theory to Applications, Artech House
Walessa M, Datcu M (2000) Model-based despeckling and information extraction from SAR Images. IEEE Trans Geosci Remote Sens 38(5):2258–2269
Google Scholar
Escamilla HM, Méndez ER (1991) Speckle statistics from gamma-distributed random-phase screens. J Opt Soc Am A 8:1929–1935
Google Scholar
Sathit Intajag and Sakreya Chitwong, (2006) Speckle Noise Estimation with Generalized Gamma Distribution. SICE-ICASE International Joint Conference, Oct 2006, 18–21, in Bexco, Busan, Korea
Lee J-S (1981) Refined filtering of image noise using local statistics. Comput Graph Image Process 15(2):380–389
Google Scholar
Frost VS et al (1982) A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans Pattern Anal Mach Intell PAMI-4:157–166
Google Scholar
Kuan DT, Sawchuk AA, Strand TC, Chavel P (1985) Adaptive noise smoothing filter for images with signal dependent noise. IEEE Trans Pattern Anal Mach Intell PAMI-7(2):165–77
Google Scholar
Lopès A, Touzi R, Nezry E (1990) Adaptive speckle filters and scene heterogeneity. IEEE Trans Geosci Remote Sens 28(6):992–1000
Google Scholar
Lopès A, Nezry E, Touzi R, Laur H (1990) Maximum a posteriori speckle filtering and first-order texture models in SAR images. In Proc. IEEE Int Geoscience and Remote Sensing Symp. 2409–2412
Lopès A, Nezry E, Touzi R, Laur H (1993) Structure detection and statistical adaptive speckle filtering in SAR images. Int J Remote Sens 14(9):1735–1758
Google Scholar
Donoho DL, Johnstone IM (1994) Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc 90:1200–1224
MathSciNet
MATH
Google Scholar
Meer P, Park R-H, Cho K (1994) Multiresolution adaptive image smoothing. Graph Models Image Process 56(2):140–148
Google Scholar
Guo H, Odegard JE, Lang M, Gopinath RA, Selesnick IW, Burrus CS (1994) Wavelet based speckle reduction with application to SAR based ATD/R. Proc IEEE Int Conf Image Process 1:75–79
Google Scholar
Donoho DL (1995) Denoising by soft-thresholding. IEEE Trans Inf Theory 41(3):613–627
MATH
Google Scholar
Gagnon L, Jouan A (1997) Speckle filtering of SAR images: a comparative study between a complex-wavelet-based and standard filter. Proc SPIE 80–91
Aiazzi B, Alparone L, Baronti S, Borri G (1998) Pyramid-based multiresolution adaptive filters for additive and multiplicative image noise. IEEE Trans Circuits Syst II 45(8):1092–1097
Google Scholar
Aiazzi B, Alparone L, Baronti S (1998) Multiresolution local-statistics speckle filtering based on a ratio Laplacian pyramid. IEEE Trans Geosci Remote Sens 36(5):1466–1476
Google Scholar
E. Hervet, R. Fjørtoft, P. Marthon, and A. Lopès (1998) Comparison of wavelet-based and statistical speckle filters. In: Proc. SPIE SAR image analysis, modelling, and techniques III, F. Posa, Ed. 3497: 43–54
Sveinsson JR, Benediktsson JA (2003) Almost translation invariant wavelet transformations for speckle reduction of SAR images. IEEE Trans Geosci Remote Sens 41(510):2404–2408
Google Scholar
Solbø S, Eltoft T (2004) Homomorphic wavelet-based statistical despeckling of SAR images. IEEE Trans Geosci Remote Sens 42(4):711–721
Google Scholar
Dai M, Peng C, Chan AK, Loguinov D (2004) Bayesian wavelet shrinkage with edge detection for SAR image de-speckling. IEEE Trans Geo Sci Remote Sens 42(8):1642–1648
Google Scholar
Bhuiyan MIH, Ahmad MO, Swamy MNS (2005) A new homomorphic Bayesian wavelet-based MMAE filter for despeckling SAR images. In: Proc. IEEE Int. Symp. Circuits and Systems (ISCAS) 5: 4935–4938
Bhuiyan MIH, Ahmad MO, Swamy MNS (2007) Spatially adaptive wavelet-based method using the Cauchy prior for denoising the SAR images. IEEE Trans Circuits Syst Video Technol 17(4):500–507
Google Scholar
Wu J, Yan W, Bian H, Ni W (2010) A despeckling algorithm combining curvelet and wavelet transforms of high resolution SAR images. Proc Comput Des Appl 1:302–305
Google Scholar
Ranjani JJ, Thiruvengadam SJ (2010) Dual tree complex wavelet transform based despeckling using interscale dependency. IEEE Trans Geosci Remote Sens 48(6):2723–2731
Google Scholar
Vijaykumar VR, Mathew A, Rao B, Santhanamari (2012) Dual tree complex wavelet transform based SAR image despeckling. In: 4th International Conference on Intelligent and Advanced Systems (ICIAS2012)
Tao R, Wan H, Wang Y (2012) Artifact-free despeckling of SAR images using contourlet. IEEE Geosci Remote Sens Lett 9(5):980–984
Google Scholar
Argenti F, Bianchi T, Lapini A, Alparone L (2012) Fast MAP despeckling based on Laplacian–Gaussian modeling of wavelet coefficients. IEEE Geosci Remote Sens Lett 9(1):13–17
Google Scholar
Chen H, Zhang Y, Wang H, Ding C (2012) Stationary-wavelet based despeckling of SAR images using two-sided generalized gamma models. IEEE Geosci Remote Sens Lett 9(6):1061–1065
Google Scholar
Perona P, Malik J (1990) Scale space and edge detection using anisotropic diffusion. IEEE Trans Image Process 12(8):629–639
Google Scholar
Yu Y, Acton ST (2002) Speckle reducing anisotropic diffusion. IEEE Trans Image Process 11(11):1260–1270
MathSciNet
Google Scholar
Yu Y, Acton ST (2004) Automated delineation of coastline from polarimetric SAR imagery. Int J Remote Sens 25(17):3423–3438
Google Scholar
Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images. In: Proc. 6th Int. Conf. Computer Vision (ICCV) pp. 839–846
Zhang WG, Zhang Q, Yang CS (2011) Improved bilateral filtering for SAR image despeckling. Electron Lett 47(4):286–288
Google Scholar
Li G-T, Wang C-L, Huang P-P, Yu W-D (2013) SAR image despeckling using a space-domain filter with alterable window. IEEE Geosci Remote Sens Lett 10(2):263267
Google Scholar
Mastriani M, Giraldez AE (2016) Neural shrinkage for wavelet-based SAR despeckling. arXiv preprint arXiv:1608.00279
Buades A, Coll B, Morel J-M (2005) A non-local algorithm for image denoising. Computer Vision and Pattern Recognition CVPR 2005. IEEE Computer Society Conference on, 20–25 June 2005
Achim A, Kuruoglu EE, Zerubia J (2006) SAR image filtering based on the heavy-tailed Rayleigh model. IEEE Trans Image Process 15(9):2686–2693
Google Scholar
Donoho DL (2006) Compressed sensing. IEEE Trans Inform Theory 52(4):1289–1306
MathSciNet
MATH
Google Scholar
Foucher S (2008) SAR image filtering via learned dictionaries and sparse representations. In: Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS) I: 229–232
Yang M, Zhang G (2012) SAR image despeckling using overcomplete dictionary. Electron Lett 48(10):596–597
Google Scholar
Hao Y, Feng X, Xu J (2012) Multiplicative noise removal via sparse and redundant representations over learned dictionaries and total variation. Signal Process 92(6):1536–1549
Google Scholar
Lee J-S, Wen J-H, Ainsworth TL, Chen K-S, Chen AJ (2009) Improved sigma filter for speckle filtering of SAR imagery. IEEE Trans Geosci Remote Sens 47(1):202–213
Google Scholar
Lee JS (1983) Digital image smoothing and the sigma filter. Comput Vis Graph Image Process 24(2):255–269
Google Scholar
Teuber T, Lang A (2012) A new similarity measure for nonlocal filtering in the presence of multiplicative noise. Comput Stat Data Anal 56(12):3821–3842
MathSciNet
MATH
Google Scholar
Gragnaniello D, Poggi G, Verdoliva L (2012) Classification based nonlocal SAR despeckling. In: Proc. Tyrrhenian Workshop on Advances in Radar and Remote Sensing 121–125
Jojy C, Nair MS, Subrahmaniyam GRKS, Riji R (2013) Discontinuity adaptive non-local means with importance sampling unsented Kalman filter for despeckling SA images. IEEE Trans Sel Top Appl Earth Obs Remote Sens 6(4):1964
Google Scholar
Li H-C, Hong W, Wu Y-R, Fan P-Z (2013) Bayesian wavelet shrinkage with heterogeneity-adaptive threshold for SAR image despeckling based on generalized gamma distribution. IEEE Trans Geosci Remote Sens 51(4):2388–2402. https://doi.org/10.1109/TGRS.2012.2211366
Article
Google Scholar
Sethunadh R, Thomas T (2014) Spatially adaptive despeckling of SAR image using bivariate thresholding in directionlet domain. Electron Lett 50(1):44–45. https://doi.org/10.1049/el.2013.0971
Article
Google Scholar
Zhu L, Zhao X, Gu M (2014) SAR image despeckling using improved detail-preserving anisotropic diffusion. Electron Lett 50(15):1092–1093. https://doi.org/10.1049/el.2014.0293
Article
Google Scholar
Parrilli S, Poderico M (2012) Cesario Vincenzo Angelino, Luisa Verdoliva: a nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage. IEEE Trans Geosci Remote Sens 50(2):606–616
Google Scholar
Kervrann C, Boulanger J, Coupé P (2007) Bayesian nonlocal means filter, image redundancy and adaptive dictionaries for noise removal. In: Proc. 1st Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM) pp. 520–532
Coupe P, Hellier P, Kervrann C, Barillot C (2008) Bayesian non local means-based speckle filtering. In: Proc. 5th IEEE Int. Symp. Biomedical Imaging: From Nano to Macro pp. 1291–1294
Zhong H, Li Y, Jiao L (2011) SAR image despeckling using Bayesian non-local means filter with sigma preselection. IEEE Geosci Remote Sens Lett 8(4):809–813
Google Scholar
de la Mata-Moya D, Diaz-Soria A, Martin-de-Nicolas J, Jarabo-Amores M-P, Pelaez VM (2014) Spatially adaptive thresholding of the empirical mode decomposition for speckle reduction purposes. In:10th European Conference on Synthetic Aperture Radar; Proceedings of Date of Conference: 3–5 June 2014
Xu B, Cui Y, Li Z, Zuo B, Yang J, Song J (2015) Patch ordering-based sar image despeckling via transform-domain filtering. IEEE J Sel Top Appl Earth Obs Remote Sens 8(4):1682–1695. https://doi.org/10.1109/JSTARS.2014.2375359
Article
Google Scholar
Zhao Y, Liu J, Zhang B, Hong W, Yirong Wu (2015) Adaptive total variation regularization based SAR image despeckling and despeckling evaluation index. IEEE Trans Geosci Remote Sens 53(5):2765–2774
Google Scholar
Rudin LI, Osher S, Fatemi E (1992) Nonlinear total variation based noise removal algorithms. Physica D 60(1–4):259–268
MathSciNet
MATH
Google Scholar
Shi J, Osher S (2008) A nonlinear inverse scale space method for a convex multiplicative noise model. SIAM J Imaging Sci 1(3):294–321
MathSciNet
MATH
Google Scholar
Denis L, Tupin F, Darbon J, Sigelle M (2009) SAR image regularization with fast approximate discrete minimization. IEEE Trans Image Process 18(7):1588–1600
MathSciNet
MATH
Google Scholar
Palsson F, Sveinsson JR, Ulfarsson MO, Benediktsson JA (2012) SAR image denoising using total variation based regularization with SURE-based optimization of the regularization parameter. In: Proc. IEEE Int. Geoscience and Remote Sensing Symp (IGARSS) pp. 2160–2163
Gleich D, Kseneman M (2012) A comparison of regularization based methods for despeckling of SLC SAR images. In: Proc. 9th European Conf. Synthetic Aperture Radar (EUSAR) pp. 784–787
Atto AM, Trouvé E, Nicolas J-M, Lê TT (2016) Wavelet operators and multiplicative observation models—Application to sar image time-series analysis. IEEE Trans Geosci Remote Sens 54(11):6606–6624
Google Scholar
Gragnaniello D, Poggi G, Scarpa G, Verdoliva L (2016) SAR Image Despeckling by Soft Classification. IEEE J Sel Top Appl Earth Obs Remote Sens 9(6):2118–2130
Google Scholar
Sivaranjani RS, Roomi MM, Senthilarasi M (2019) Speckle noise removal in SAR images using Multi-Objective PSO (MOPSO) algorithm. Appl Soft Comput 76:671–681
Google Scholar
Xu Z, Shi Q, Chen Y, Feng W, Shao Y, Sun L, Huang X (2018) Non-stationary speckle reduction in high resolution SAR images. Digit Signal Process 73:72–82
MathSciNet
Google Scholar
Rana VK, Suryanarayana TMV (2019) Evaluation of SAR speckle filter technique for inundation mapping. Remote Sens Appl Soc Environ 16:100271
Google Scholar
Gokul J, Nair MS, Rajan J (2017) Guided SAR image despeckling with probabilistic non local weights. Comput Geosci 109:16–24
Google Scholar
Sujitha AG, Vasuki P, Deepan AA (2019) Hybrid Laplacian Gaussian Based Speckle Removal in SAR Image Processing. J Med Syst 43(7):222
Google Scholar
Liu S, Guoqing Wu, Zhang X, Zhang K, Wang P, Li Y (2017) SAR despeckling via classification-based nonlocal and local sparse representation. Neurocomputing 219:174–185
Google Scholar
Lu Y, Gao Q, Sun D, Xia Yi, Zhang D (2016) SAR speckle reduction using Laplace mixture model and spatial mutual information in the directionlet domain. Neurocomputing 173:633–644
Google Scholar
Farhadiani R, Homayouni S, Safari A (2019) Hybrid SAR speckle reduction using complex wavelet shrinkage and non-local PCA-based filtering. IEEE J Sel Top Appl Earth Obs Remote Sens 12(5):1489–1496
Google Scholar
Ravani K, Saboo S, Bhatt JS (2019) A practical approach for SAR image despeckling using deep learning. In: IEEE International Geoscience and Remote Sensing Symposium pp. 2957–2960
Gu F, Zhang H, Wang C, Zhang B (2017) Residual encoder-decoder network introduced for multisource SAR image despeckling. In: 2017 SAR in Big Data Era: models, methods and applications (BIGSARDATA), pp. 1–5. IEEE, 2017
Denis L, Deledalle C-A, Tupin F (2019) From patches to deep learning: combining self-similarity and neural networks for SAR image despeckling. In: IGARSS 2019–2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5113–5116
Vitale S, Ferraioli G, Pascazio V (2019) A new ratio image based CNN algorithm for SAR despeckling. In: IGARSS 2019–2019 IEEE international geoscience and remote sensing symposium, pp. 9494–9497
Gleich D, Šipoš D (2019) Deep despeckling of SAR images. In: IGARSS 2019–2019 IEEE international geoscience and remote sensing symposium, pp. 1907–1910
Cozzolino D, Verdoliva L, Scarpa G, Poggi G (2019) Nonlocal SAR image despeckling by convolutional neural networks. In: IGARSS 2019–2019 IEEE international geoscience and remote sensing symposium, pp. 5117–5120
Ferraioli G, Pascazio V, Vitale S (2019) A novel cost function for despeckling using convolutional neural networks. In: 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4
Gu F, Zhang H, Wang C (2020) A two-component deep learning network for SAR image denoising. IEEE Access 8:17792–17803
Google Scholar
Wang P, Zhang He, Patel VM (2017) SAR image despeckling using a convolutional neural network. IEEE Signal Process Lett 24(12):1763–1767
Google Scholar
Kwak Y, Song W-J, Kim S-E (2018) Speckle-noise-invariant convolutional neural network for SAR target recognition. IEEE Geosci Remote Sens Lett 16(4):549–553
Google Scholar
Yue D-X, Feng Xu, Jin Y-Q (2018) SAR despeckling neural network with logarithmic convolutional product model. Int J Remote Sens 39(21):7483–7505
Google Scholar
Argenti F, Lapini A, Bianchi T, Alparone L (2013) A tutorial on speckle reduction in synthetic aperture radar images. IEEE Geosci Remote Sens Mag 1(3):6–35
Google Scholar
Singh P, Shree R (2017) A new homomorphic and method noise thresholding based despeckling of SAR image using anisotropic diffusion. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/j.jksuci.2017.06.006
Article
Google Scholar
Xie H, Pierce LE, Ulaby FT (2002) Statistical properties of logarithmically transformed speckle. IEEE Trans Geosci Remote Sens 40(3):721–727
Google Scholar
Singh P, Shree R (2017) A new computationally improved homomorphic despeckling technique of SAR images. Int J Advan Res Comp Sci 8(3)
Li GT, Wang CL, Huang PP, Yu WD (2013) SAR image despeckling using a space-domain filter with alterable window. IEEE Geosci Remote Sens Lett 10(2):263267
Google Scholar
Zhang L, Zhang L, Mou X, Zhang D (2011) FSIM: a feature similarity index for image quality assessment. IEEE Trans Image Process 20(8):2378–2386
MathSciNet
MATH
Google Scholar
Singh P, Shree R (2016) Speckle noise: modelling and implementation. Int J Control Theory Appl 9(17):8717–8727
Google Scholar
Sattar F, Floreby L, Salomonsson G, Lovstrom B (1997) Image enhancement based on a nonlinear multiscale method. IEEE Trans Image Process 6(6):888–895
Google Scholar
Achim A, Tsakalides P, Bezerianos A (2003) SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modelling. IEEE Trans Geosci Remote Sens 41(8):1773–1784
Google Scholar
Singh P, Shree R (2016) Statistical modelling of log transformed speckled image. Int J Comput Sci Inf Secur 14(8):426–431
Google Scholar
Singh P, Shree R (2017) Statistical quality analysis of wavelet based sar images in despeckling process. Asian J Electr Sci 6(2):1–18
Google Scholar
Singh P, Shree R (2017) Quantitative dual nature analysis of mean square error in SAR image despeckling. Int J Comput Sci Eng 9:619–622
Google Scholar
Singh P, Shree R (2016) Analysis and Effects of Speckle Noise in SAR Images. In: 2nd International conference on advances in computing, communication, and automation (ICACCA) 1–5. (IEEE International Conference)
Benitz GR (1997) High-definition vector imaging. Lincoln Lab J 10(2):147–170
Google Scholar
M Çetin, WC Karl, and DA Castañon (2000) Evaluation of a regularized SAR imaging technique based on recognitionoriented features. In: Proceeding SPIE algorithms for synthetic aperture radar imagery VII 4053: 40–51
Mastriani M, Giraldez AE (2016) Enhanced directional smoothing algorithm for edge-preserving smoothing of synthetic-aperture radar images. arXiv preprint arXiv:1608.01993
Synthetic Aperture Radar (SAR) Imagery, Sandia National Laboratories, Airborne ISR. Available at: http://www.sandia.gov/RADAR/imagery/
Moreira A, Prats-Iraola P, Younis M, Krieger G, Hajnsek I, Papathanassiou KP (2013) A tutorial on synthetic aperture radar. IEEE Geosci Remote Sens Mag. https://doi.org/10.1109/MGRS.2013.2248301
Article
Google Scholar