4.12.3 Radar, Speckle Analysis and Removal, Speckle Reduction, Despeckle

Chapter Contents (Back)
Speckle. Despeckle. Speckle Reduction. Radar. Noise Removal.
See also Interference Mitigation, Radars, SAR.
See also Motion Compensation for Radar.

Goodman, J.W.,
Some Fundamental Properties of Speckle,
JOSA(66), November 1976, pp. 1145-1149. BibRef 7611

Shankar, P.M., Gupta, H.M.,
Image Detection in the Presence of Speckle,
PIEEE(67), 1979, pp. 326-328. BibRef 7900

Lee, J.S.,
Speckle Analysis and Smoothing of Synthetic Aperture Radar Images,
CGIP(17), No. 1, September 1981, pp. 24-32.
Elsevier DOI BibRef 8109

Lee, J.S.,
A Simple Speckle Smoothing Algorithm for Synthetic Aperture Radar Images,
SMC(13), 1983, pp. 85-89.
See also Digital Image Smoothing and the Sigma Filter. BibRef 8300

Lee, J.S., Grunes, M.R., de Grandi, G.,
Polarimetric SAR Speckle Filtering and Its Implication for Classification,
GeoRS(37), No. 5, September 1999, pp. 2363.
IEEE Top Reference. BibRef 9909

Limb, J.S., and Nawab, H.,
Techniques for Speckle Noise Removal,
OptEng(20), May/June 1981, pp. 472-480. BibRef 8105

Kuan, D.T., Sawchuk, A.A., Strand, T.C., and Chavel, P.,
Discrete Speckle Modeling and Restoration,
JOSA(71), December 1981, pp. 1585-1586. BibRef 8112

Frost, V.S., Stiles, J.A., Shanmugan, K.S., and Holtzman, J.C.,
A Model for Radar Images and Its Application to Adaptive Digital Filtering for Multiplicative Noise,
PAMI(4), No. 2, March 1982, pp. 157-166. BibRef 8203

Baraldi, A., Parmiggiani, F.,
An Alternative Form of the Lee Filter for Speckle Suppression in SAR Images,
GMIP(57), No. 1, 1995, pp. 75-yy.
See also Simple Speckle Smoothing Algorithm for Synthetic Aperture Radar Images, A. BibRef 9500

Wakabayashi, H., Arai, K.,
A Method of Speckle Noise-Reduction for SAR Data,
JRS(17), No. 10, July 10 1996, pp. 1837-1849. 9607
BibRef

Beauchemin, M., Thomson, K.P.B., Edwards, G.,
Edge-Detection and Speckle Adaptive Filtering for SAR Images Based on a 2nd-Order Textural Measure,
JRS(17), 1996, pp. 1751-xx. BibRef 9600
And: Correction: JRS(17), No. 16, November 10 1996, pp. 3319-3319. 9611
BibRef

Paler, K., Crennell, K.M., Kittler, J.V., Dobbins, B.N., Button, B.L., Wykes, C.,
Identification of Fringe Minima in Electronic Speckle Pattern Images,
PRL(6), 1987, pp. 33-44. BibRef 8700

Bovik, A.C.,
On Detecting Edges in Speckle Imagery,
ASSP(36), 1988, pp. 1618-1627. BibRef 8800

Ramponi, G., Moloney, C.,
Smoothing Speckled Images Using an Adaptive Rational Operator,
SPLetters(4), No. 3, March 1997, pp. 68-71.
IEEE Top Reference. 9703
BibRef

Hirosawa, H.,
Features Observed in Images with Speckle,
GeoRS(35), No. 3, May 1997, pp. 791-792.
IEEE Top Reference. 9706
BibRef

Simard, M., de Grandi, G., Thomson, K.P.B., Benie, G.B.,
Analysis of Speckle Noise Contribution on Wavelet Decomposition of SAR Images,
GeoRS(36), No. 6, November 1998, pp. 1953.
IEEE Top Reference. BibRef 9811

Moulin, P.[Pierre],
A wavelet regularization method for diffuse radar-target imaging and speckle-noise reduction,
JMIV(3), No. 1, 1993, pp. 123-134. BibRef 9300

Thelen, B.J.[Brian J.], Paxman, R.G.[Richard G.], Carrara, D.A.[David A.], Seldin, J.H.[John H.],
Maximum a posteriori estimation of fixed aberrations, dynamic aberrations, and the object from phase-diverse speckle data,
JOSA-A(16), No. 5, May 1999, pp. 1016-1025. BibRef 9905

Xu, P.L.[Pei-Liang],
Despeckling SAR-type multiplicative noise,
JRS(20), No. 13, September 1999, pp. 2577. BibRef 9909

Park, J.M., Song, W.J., Pearlman, W.A.,
Speckle filtering of SAR images based on adaptive windowing,
VISP(146), No. 4, 1999, pp. 191. BibRef 9900

Lehmann, M.,
Measurement Optimization in Speckle Interferometry: The Influence of the Imaging Lens Aperture,
OptEng(36), No. 4, April 1997, pp. 1162-1168. 9705
BibRef

Ruiz, P.D., Kaufmann, G.H.,
Evaluation of a Scale-Space Filter for Speckle Noise-Reduction in Electronic Speckle Pattern Interferometry,
OptEng(37), No. 8, August 1998, pp. 2395-2401. 9809
BibRef

Collins, M.J., Wiebe, J., Clausi, D.A.,
The Effect of Speckle Filtering on Scale-Dependent Texture Estimation of a Forested Scene,
GeoRS(38), No. 3, May 2000, pp. 1160-1170.
IEEE Top Reference. 0006
BibRef

Walessa, M., Datcu, M.,
Model-Based Despeckling and Information Extraction from SAR Images,
GeoRS(38), No. 5, September 2000, pp. 2258-2269.
IEEE Top Reference. 0010
BibRef

Gleich, D., Datcu, M.,
Gauss-Markov Model for Wavelet-Based SAR Image Despeckling,
SPLetters(13), No. 6, June 2006, pp. 365-368.
IEEE DOI 0606
BibRef

Gleich, D., Datcu, M.,
Wavelet-Based SAR Image Despeckling and Information Extraction, Using Particle Filter,
IP(18), No. 10, October 2009, pp. 2167-2184.
IEEE DOI 0909
BibRef

Gleich, D., Datcu, M.,
Wavelet-Based Despeckling of SAR Images Using Gauss-Markov Random Fields,
GeoRS(45), No. 12, December 2007, pp. 4127-4143.
IEEE DOI 0711
BibRef

Gleich, D., Datcu, M.,
Despeckling and Information Extraction From SLC SAR Images,
GeoRS(52), No. 8, August 2014, pp. 4633-4649.
IEEE DOI 1403
Bayes methods BibRef

Molina, D.E.[D. Espinoza], Gleich, D., Datcu, M.,
Evaluation of Bayesian Despeckling and Texture Extraction Methods Based on Gauss-Markov and Auto-Binomial Gibbs Random Fields: Application to TerraSAR-X Data,
GeoRS(50), No. 5, May 2012, pp. 2001-2025.
IEEE DOI 1202
BibRef
Earlier: A1, A3, A2:
Cramer-Rao Bound-Based Evaluation of Texture Extraction from SAR Images,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Frulla, L.A., Milovich, J.A., Gagliardini, D.A.,
Automatic computation of speckle standard deviation in SAR images,
JRS(21), No. 15, October 2000, pp. 2883-2900. 0010
BibRef

North, H.C., Yu, Q.X.,
An Edge-Preserving Filter for Imagery Corrupted with Multiplicative Noise,
PhEngRS(67), No. 1, January 2001, pp. 57-64. Speckle noise in SAR data is reduced, and yet feature boundaries are retained. 0101
BibRef

Dong, Y.H., Milne, A.K., Forster, B.C.,
Toward Edge Sharpening: A SAR Speckle Filtering Algorithm,
GeoRS(39), No. 4, April 2001, pp. 851-863.
IEEE Top Reference. 0105
BibRef

Capstick, D., Harris, R.,
The effects of speckle reduction on classification of ERS SAR data,
JRS(22), No. 18, December 2001, pp. 3627-3641. 0201
BibRef

Belhadj, Z., Jebara, S.B.[S. Ben],
Adaptive speckle reduction using combined multiresolution analysis and prediction technique,
JRS(23), No. 11, June 2002, pp. 2263-2282.
WWW Link. 0206
BibRef

Delignon, Y., Pieczynski, W.,
Modeling non-rayleigh speckle distribution in SAR images,
GeoRS(40), No. 6, June 2002, pp. 1430-1435.
IEEE Top Reference. 0208
BibRef

Gabriel, A.K.,
A simple model for SAR azimuth speckle, focusing, and interferometric decorrelation,
GeoRS(40), No. 8, August 2002, pp. 1885-1889.
IEEE Top Reference. 0210
BibRef

Yu, Y.[Yongjian], Acton, S.T.,
Speckle reducing anisotropic diffusion,
IP(11), No. 11, November 2002, pp. 1260-1270.
IEEE DOI 0301
BibRef

Xie, H.[Hua], Pierce, L.E., Ulaby, F.T.,
SAR speckle reduction using wavelet denoising and markov random field modeling,
GeoRS(40), No. 10, October 2002, pp. 2196-2212.
IEEE Top Reference. 0301
BibRef

Argenti, F., Alparone, L.,
Speckle removal from SAR images in the undecimated wavelet domain,
GeoRS(40), No. 11, November 2002, pp. 2363-2374.
IEEE Top Reference. 0301
BibRef

Bianchi, T., Argenti, F., Alparone, L.,
Segmentation-Based MAP Despeckling of SAR Images in the Undecimated Wavelet Domain,
GeoRS(46), No. 9, September 2008, pp. 2728-2742.
IEEE DOI 0810
BibRef

Lapini, A., Bianchi, T., Argenti, F., Alparone, L.,
Blind Speckle Decorrelation for SAR Image Despeckling,
GeoRS(52), No. 2, February 2014, pp. 1044-1058.
IEEE DOI 1402
decorrelation BibRef

Argenti, F., Bianchi, T., Alparone, L.[Luciano],
Multiresolution MAP Despeckling of SAR Images Based on Locally Adaptive Generalized Gaussian pdf Modeling,
IP(15), No. 11, November 2006, pp. 3385-3399.
IEEE DOI 0610
BibRef

Alparone, L.[Luciano], Argenti, T., Aiazzi, B.[Bruno], Baronti, S.[Stefano],
Multiresolution approaches to adaptive speckle reduction in synthetic aperture radar images,
ICIP03(I: 109-112).
IEEE DOI 0312
BibRef

Touzi, R.,
A review of speckle filtering in the context of estimation theory,
GeoRS(40), No. 11, November 2002, pp. 2392-2404.
IEEE Top Reference. 0301
BibRef

Achim, A., Tsakalides, P., Bezerianos, A.,
SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling,
GeoRS(41), No. 8, August 2003, pp. 1773-1784.
IEEE Abstract. 0308
BibRef

Achim, A., Kuruoglu, E.E., Zerubia, J.,
SAR Image Filtering Based on the Heavy-Tailed Rayleigh Model,
IP(15), No. 9, August 2006, pp. 2686-2693.
IEEE DOI 0608
BibRef

Lee, J.S.[Jong-Sen], Cloude, S.R., Papathanassiou, K.P., Grunes, M.R., Woodhouse, I.H.,
Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications,
GeoRS(41), No. 10, October 2003, pp. 2254-2263.
IEEE Abstract. 0310
BibRef

López Martínez, C.[Carlos], Fabregas, X.[Xavier],
Polarimetric SAR Speckle Noise Model,
GeoRS(41), No. 10, October 2003, pp. 2232-2242.
IEEE Abstract. 0310

See also Modeling and reduction of SAR Interferometric phase noise in the wavelet domain. BibRef

López Martínez, C.[Carlos], Fabregas, X.[Xavier], Pottier, E.[Eric],
Multidimensional Speckle Noise Model,
JASP(2005), No. 20, 2005, pp. 3259-3271.
WWW Link. 0603
BibRef

Sveinsson, J.R., Benediktsson, J.A.,
Almost translation invariant wavelet transformations for speckle reduction of SAR images,
GeoRS(41), No. 10, October 2003, pp. 2404-2408.
IEEE Abstract. 0310
BibRef

Wang, B.[Bin], Zhang, L.M.[Li-Ming],
Automated removal of ghost noise from SAR images using wavelet packet transform,
GeoRS(41), No. 10, October 2003, pp. 2409-2414.
IEEE Abstract. 0310
BibRef

Fujita, M., Nakamura, S.,
Target decomposition analysis of SIR-C imagery for characterization of scattering mechanisms and their dependence on observation parameters,
GeoRS(41), No. 12, December 2003, pp. 2721-2724.
IEEE Abstract. 0402
BibRef

Solbo, S., Eltoft, T.,
Homomorphic Wavelet-Based Statistical Despeckling of SAR Images,
GeoRS(42), No. 4, April 2004, pp. 711-721.
IEEE Abstract. 0407
BibRef

Bertaux, N.[Nicolas], Frauel, Y.[Yann], Réfrégier, P.[Philippe], Javidi, B.[Bahram],
Speckle removal using a maximum-likelihood technique with isoline gray-level regularization,
JOSA-A(21), No. 12, December 2004, pp. 2283-2291.
WWW Link. 0501
BibRef

Ouchi, K., Wang, H.,
Interlook Cross-Correlation Function of Speckle in SAR Images of Sea Surface Processed With Partially Overlapped Subapertures,
GeoRS(43), No. 4, April 2005, pp. 695-701.
IEEE Abstract. 0501
BibRef

Gnanadurai, D., Sadasivam, V.,
Undecimated wavelet based speckle reduction for SAR images,
PRL(26), No. 6, 1 May 2005, pp. 793-800.
Elsevier DOI 0501
BibRef

Mastriani, M., Giraldez, A.E.,
Smoothing of Coefficients in Wavelet Domain for Speckle Reduction in Synthetic Aperture Radar Images,
GVIP(05), No. V6, 2005, pp. 1-8
HTML Version. BibRef 0500

Donelli, M., Franceschini, G., Martini, A., Massa, A.,
An Integrated Multiscaling Strategy Based on a Particle Swarm Algorithm for Inverse Scattering Problems,
GeoRS(44), No. 2, February 2006, pp. 298-312.
IEEE DOI 0602
BibRef

Franceschini, G., Donelli, M., Azaro, R., Massa, A.,
Inversion of Phaseless Total Field Data Using a Two-Step Strategy Based on the Iterative Multiscaling Approach,
GeoRS(44), No. 12, December 2006, pp. 3527-3539.
IEEE DOI 0701

See also Three-Dimensional Microwave Imaging Problems Solved Through an Efficient Multiscaling Particle Swarm Optimization. BibRef

Zhong, Z.,
Influence of high-resolution processing on background noise distribution in ship-borne radar,
VISP(153), No. 3, June 2006, pp. 388-394.
DOI Link 0608
BibRef

Aja-Fernandez, S., Alberola-Lopez, C.,
On the Estimation of the Coefficient of Variation for Anisotropic Diffusion Speckle Filtering,
IP(15), No. 9, August 2006, pp. 2694-2701.
IEEE DOI 0608
BibRef

Lankoande, O.[Ousseini], Hayat, M.M.[Majeed M.], Santhanam, B.[Balu],
Scene estimation from speckled synthetic aperture radar imagery: Markov-random-field approach,
JOSA-A(23), No. 6, June 2006, pp. 1269-1281.
WWW Link. 0610
BibRef
Earlier:
Speckle Modeling and Reduction in Synthetic Aperture Radar Imagery,
ICIP05(III: 317-320).
IEEE DOI 0512

See also SAR-Based Vibration Estimation Using the Discrete Fractional Fourier Transform. BibRef

Liu, W.J.[Wen-Jing], Santhanam, B.[Balu],
Wideband image demodulation via bi-dimensional multirate frequency transformations,
JOSA-A(33), No. 9, September 2016, pp. 1668-1678.
DOI Link 1609
Digital image processing, Image analysis BibRef

Cameron, W.L., Rais, H.,
Conservative Polarimetric Scatterers and Their Role in Incorrect Extensions of the Cameron Decomposition,
GeoRS(44), No. 12, December 2006, pp. 3506-3516.
IEEE DOI 0701
BibRef

Lopez-Martinez, C., Pottier, E.,
On the Extension of Multidimensional Speckle Noise Model From Single-Look to Multilook SAR Imagery,
GeoRS(45), No. 2, February 2007, pp. 305-320.
IEEE DOI 0703
BibRef

Greco, M.S., Gini, F.,
Statistical Analysis of High-Resolution SAR Ground Clutter Data,
GeoRS(45), No. 3, March 2007, pp. 566-575.
IEEE DOI 0703
BibRef

Krissian, K.[Karl], Westin, C.F.[Carl-Fredrik], Kikinis, R.[Ron], Vosburgh, K.G.[Kirby G.],
Oriented Speckle Reducing Anisotropic Diffusion,
IP(16), No. 5, May 2007, pp. 1412-1424.
IEEE DOI 0704
BibRef

Axelsson, S.R.J.[Sune R. J.],
Random Noise Radar/Sodar With Ultrawideband Waveforms,
GeoRS(45), No. 5, May 2007, pp. 1099-1114.
IEEE DOI 0704
BibRef

Barducci, A., Guzzi, D., Marcoionni, P., Pippi, I.,
Assessing Noise Amplitude in Remotely Sensed Images Using Bit-Plane and Scatterplot Approaches,
GeoRS(45), No. 8, August 2007, pp. 2665-2675.
IEEE DOI 0709
BibRef

Zhang, Z., Xing, M., Ding, J., Bao, Z.,
Focusing Parallel Bistatic SAR Data Using the Analytic Transfer Function in the Wavenumber Domain,
GeoRS(45), No. 11, November 2007, pp. 3633-3645.
IEEE DOI 0709
BibRef

Gupta, K.K.[Karunesh K.], Gupta, R.[Rajiv],
Despeckle and geographical feature extraction in SAR images by wavelet transform,
PandRS(62), No. 6, December 2007, pp. 473-484.
Elsevier DOI 0711
Despeckle, Speckle models, Wavelet transform, Multiscale analysis, Ribbon-like structure BibRef

Solbo, S., Eltoft, T.,
A Stationary Wavelet-Domain Wiener Filter for Correlated Speckle,
GeoRS(46), No. 4, April 2008, pp. 1219-1230.
IEEE DOI 0803
BibRef

Rajan, J.[Jeny], Kannan, K., Kaimal, M.R.,
An Improved Hybrid Model for Molecular Image Denoising,
JMIV(31), No. 1, May 2008, pp. xx-yy.
Springer DOI 0804
BibRef
Earlier: A1, A3, Only:
Speckle Reduction in Images with WEAD and WECD,
ICCVGIP06(184-193).
Springer DOI 0612
BibRef

Li, Z.W., Ding, X.L., Zheng, D.W., Huang, C.,
Least Squares-Based Filter for Remote Sensing Image Noise Reduction,
GeoRS(46), No. 7, July 2008, pp. 2044-2049.
IEEE DOI 0806
BibRef

Subrahmanyam, G.R.K.S., Rajagopalan, A.N., Aravind, R.,
A Recursive Filter for Despeckling SAR Images,
IP(17), No. 10, October 2008, pp. 1969-1974.
IEEE DOI 0809

See also Importance Sampling Kalman Filter for Image Estimation. BibRef

Lopez-Martinez, C., Fabregas, X.,
Model-Based Polarimetric SAR Speckle Filter,
GeoRS(46), No. 11, November 2008, pp. 3894-3907.
IEEE DOI 0812
BibRef

Tom, W.J., Ponticorvo, A., Dunn, A.K.,
Efficient Processing of Laser Speckle Contrast Images,
MedImg(27), No. 12, December 2008, pp. 1728-1738.
IEEE DOI 0812
BibRef

Amirmazlaghani, M., Amindavar, H., Moghaddamjoo, A.,
Speckle Suppression in SAR Images Using the 2-D GARCH Model,
IP(18), No. 2, February 2009, pp. 250-259.
IEEE DOI 0901
BibRef

Amirmazlaghani, M., Amindavar, H.,
Two Novel Bayesian Multiscale Approaches for Speckle Suppression in SAR Images,
GeoRS(48), No. 7, July 2010, pp. 2980-2993.
IEEE DOI 1007
BibRef

Amirmazlaghani, M.[Maryam], Amindavar, H.[Hamidreza],
Wavelet domain Bayesian processor for speckle removal in medical ultrasound images,
IET-IPR(6), No. 5, 2012, pp. 580-588.
DOI Link 1210
BibRef
Earlier:
A novel wavelet domain statistical approach for denoising SAR images,
ICIP09(3861-3864).
IEEE DOI 0911
BibRef

Amirmazlaghani, M., Amindavar, H.,
A Novel Sparse Method for Despeckling SAR Images,
GeoRS(50), No. 12, December 2012, pp. 5024-5032.
IEEE DOI 1212
BibRef

Lee, J.S., Wen, J.H., Ainsworth, T.L., Chen, K.S., Chen, A.J.,
Improved Sigma Filter for Speckle Filtering of SAR Imagery,
GeoRS(47), No. 1, January 2009, pp. 202-213.
IEEE DOI 0901
BibRef

Wang, Y., Ainsworth, T.L., Lee, J.S.,
Application of Mixture Regression for Improved Polarimetric SAR Speckle Filtering,
GeoRS(55), No. 1, January 2017, pp. 453-467.
IEEE DOI 1701
feature extraction BibRef

Lee, J.S.[Jong-Sen], Ainsworth, T.L., Wang, Y.T.[Yan-Ting], Chen, K.S.[Kun-Shan],
Polarimetric SAR Speckle Filtering and the Extended Sigma Filter,
GeoRS(53), No. 3, March 2015, pp. 1150-1160.
IEEE DOI 1402
geophysical signal processing BibRef

Wang, Y.T.[Yan-Ting], Ainsworth, T.L., Lee, J.S.[Jong-Sen],
Assessment of System Polarization Quality for Polarimetric SAR Imagery and Target Decomposition,
GeoRS(49), No. 5, May 2011, pp. 1755-1771.
IEEE DOI 1105
BibRef

Lee, J.S.[Jong-Sen], Ainsworth, T.L., Wang, Y.T.[Yan-Ting],
Polarization Orientation Angle and Polarimetric SAR Scattering Characteristics of Steep Terrain,
GeoRS(56), No. 12, December 2018, pp. 7272-7281.
IEEE DOI 1812
Azimuth, Polarization, Synthetic aperture radar, Radar polarimetry, Radar scattering, Bragg scattering, polarimetric SAR (PolSAR), terrain mapping BibRef

Huang, S.Q.[Shi-Qi], Liu, D.Z.[Dai-Zhi], Gao, G.Q.[Gui-Qing], Guo, X.J.[Xi-Jian],
A novel method for speckle noise reduction and ship target detection in SAR images,
PR(42), No. 7, July 2009, pp. 1533-1542.
Elsevier DOI 0903
SAR image, Speckle noise, Reduction noise, Coherence, Target detection BibRef

Denis, L., Tupin, F., Darbon, J., Sigelle, M.,
SAR Image Regularization With Fast Approximate Discrete Minimization,
IP(18), No. 7, July 2009, pp. 1588-1600.
IEEE DOI 0906

See also Joint Regularization of Phase and Amplitude of InSAR Data: Application to 3-D Reconstruction. BibRef

Hebar, M., Gleich, D., Cucej, Z.,
Autobinomial Model for SAR Image Despeckling and Information Extraction,
GeoRS(47), No. 8, August 2009, pp. 2818-2835.
IEEE DOI 0907
BibRef

Balz, T., Stilla, U.,
Hybrid GPU-Based Single- and Double-Bounce SAR Simulation,
GeoRS(47), No. 10, October 2009, pp. 3519-3529.
IEEE DOI 0910
BibRef

Rosiles, J.G.[Jose Gerardo], Smith, M.J.T.[Mark J.T.],
Multichannel Texture Segmentation Using Bamberger Pyramids,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 1002
BibRef

Rosiles, J.G., Smith, M.J.T., Mersereau, R.M.,
SAR Image Speckle Removal using Bamberger Pyramids,
ICIP06(2345-2348).
IEEE DOI 0610
BibRef

Buemi, M.E.[Maria Elena], Jacobo, J.[Julio], Mejail, M.[Marta],
SAR image processing using adaptive stack filter,
PRL(31), No. 4, 1 March 2010, pp. 307-314.
Elsevier DOI 1002
Stack filters, Synthetic aperture radar, Speckle, Classification BibRef

Buemi, M.E.[María E.], Mejail, M.[Marta], Jacobo, J.[Julio], Frery, A.C.[Alejandro C.], Ramos, H.S.[Heitor S.],
Assessment of SAR Image Filtering Using Adaptive Stack Filters,
CIARP11(89-96).
Springer DOI 1111
BibRef

Ranjani, J.J., Thiruvengadam, S.J.,
Dual-Tree Complex Wavelet Transform Based SAR Despeckling Using Interscale Dependence,
GeoRS(48), No. 6, June 2010, pp. 2723-2731.
IEEE DOI 1006
BibRef

Chen, J., Chen, Y., An, W., Cui, Y., Yang, J.,
Nonlocal Filtering for Polarimetric SAR Data: A Pretest Approach,
GeoRS(49), No. 5, May 2011, pp. 1744-1754.
IEEE DOI 1105
BibRef

Feng, H., Hou, B., Gong, M.,
SAR Image Despeckling Based on Local Homogeneous-Region Segmentation by Using Pixel-Relativity Measurement,
GeoRS(49), No. 7, July 2011, pp. 2724-2737.
IEEE DOI 1107
BibRef

Li, Y.[Ying], Gong, H.L.[Hong-Li], Feng, D.D.[David Dagan], Zhang, Y.N.[Yan-Ning],
An Adaptive Method of Speckle Reduction and Feature Enhancement for SAR Images Based on Curvelet Transform and Particle Swarm Optimization,
GeoRS(49), No. 8, August 2011, pp. 3105-3116.
IEEE DOI 1108
BibRef

Meric, S., Fayard, F., Pottier, E.,
A Multiwindow Approach for Radargrammetric Improvements,
GeoRS(49), No. 10, October 2011, pp. 3803-3810.
IEEE DOI 1110
BibRef

Dai, J.W.[Jun-Wen], Jin, Y.Q.[Ya-Qiu],
Scattering Simulation and Reconstruction of a 3-D Complex Target Using Downward-Looking Step-Frequency Radar,
GeoRS(49), No. 10, October 2011, pp. 4035-4047.
IEEE DOI 1110
Radar, backscatter, rough ground BibRef

Parrilli, S., Poderico, M., Angelino, C.V., Verdoliva, L.,
A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage,
GeoRS(50), No. 2, February 2012, pp. 606-616.
IEEE DOI 1201
BibRef

Woo, H., Yun, S.,
Alternating Minimization Algorithm for Speckle Reduction With a Shifting Technique,
IP(21), No. 4, April 2012, pp. 1701-1714.
IEEE DOI 1204
BibRef

Zhang, P.[Peng], Li, M.[Ming], Wu, Y.[Yan], Gan, L.[Lu], Wang, F.[Fan], Xiao, P.[Ping],
An Improved Particle Filter Algorithm Based on Markov Random Field Modeling in Stationary Wavelet Domain for SAR Image Despeckling,
PRL(33), No. 10, 15 July 2012, pp. 1316-1328.
Elsevier DOI 1205
SAR image despeckling, SWT-GGD, Weight selection of particle, MRF-PF; Region-divided processing BibRef

Jia, L., Li, M.[Ming], Zhang, P.[Peng], Wu, Y.[Yan],
SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme Learning Machine,
GeoRS(54), No. 10, October 2016, pp. 5993-6006.
IEEE DOI 1610
image classification BibRef

Zhang, P.[Peng], Li, M.[Ming], Wu, Y.[Yan], Li, H.,
Hierarchical Conditional Random Fields Model for Semisupervised SAR Image Segmentation,
GeoRS(53), No. 9, September 2015, pp. 4933-4951.
IEEE DOI 1506
Analytical models BibRef

Wang, F., Wu, Y.[Yan], Li, M.[Ming], Zhang, P.[Peng], Zhang, Q.,
Adaptive Hybrid Conditional Random Field Model for SAR Image Segmentation,
GeoRS(55), No. 1, January 2017, pp. 537-550.
IEEE DOI 1701
geophysical image processing BibRef

Mladenova, I.E., Jackson, T.J., Bindlish, R., Hensley, S.,
Incidence Angle Normalization of Radar Backscatter Data,
GeoRS(51), No. 3, March 2013, pp. 1791-1804.
IEEE DOI 1303
BibRef

Li, D.[Dayan], Kelly, D.P.[Damien P.], Sheridan, J.T.[John T.],
K speckle: space-time correlation function of doubly scattered light in an imaging system,
JOSA-A(30), No. 5, May 2013, pp. 969-978.
WWW Link. 1305
BibRef

Tu, S.T.[Shang Tan], Chen, J.Y.[Jia Yu], Yang, W.[Wen], Sun, H.[Hong],
Laplacian Eigenmaps-Based Polarimetric Dimensionality Reduction for SAR Image Classification,
GeoRS(50), No. 1, January 2012, pp. 170-179.
IEEE DOI 1201
BibRef

Ding, Z., Zeng, T., Dong, F., Liu, L., Yang, W., Long, T.,
An Improved PolSAR Image Speckle Reduction Algorithm Based on Structural Judgment and Hybrid Four-Component Polarimetric Decomposition,
GeoRS(51), No. 8, 2013, pp. 4438-4449.
IEEE DOI 1307
Clustering algorithms BibRef

Gomez, L., Munteanu, C.G., Buemi, M.E., Jacobo-Berlles, J.C., Mejail, M.E.,
Supervised Constrained Optimization of Bayesian Nonlocal Means Filter With Sigma Preselection for Despeckling SAR Images,
GeoRS(51), No. 8, 2013, pp. 4563-4575.
IEEE DOI 1307
Bayes methods BibRef

Leite, N.J.[Neucimar Jerônimo], Dorini, L.B.[Leyza Baldo],
A Self-Dual Filtering Toggle Operator for Speckle Noise Filtering,
IJIG(13), No. 03, 2013, pp. 1350015.
DOI Link 1309
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Dorini, L.B.[Leyza Baldo], Leite, N.J.[Neucimar JerÔnimo],
A Scale-Space Toggle Operator for Image Transformations,
IJIG(13), No. 04, 2013, pp. 1350022.
DOI Link 1404
BibRef

Torres, L.[Leonardo], Sant'Anna, S.J.S.[Sidnei J.S.], da Costa Freitas, C.[Corina], Frery, A.C.[Alejandro C.],
Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means,
PR(47), No. 1, 2014, pp. 141-157.
Elsevier DOI 1310
Hypothesis testing BibRef

Buemi, M.E.[María Elena], Frery, A.C.[Alejandro C.], Ramos, H.S.[Heitor S.],
Speckle reduction with adaptive stack filters,
PRL(36), No. 1, 2014, pp. 281-287.
Elsevier DOI 1312
Non-linear filters BibRef

Patel, V.M.[Vishal M.], Easley, G.R.[Glenn R.], Chellappa, R.[Rama], Nasrabadi, N.M.,
Separated Component-Based Restoration of Speckled SAR Images,
GeoRS(52), No. 2, February 2014, pp. 1019-1029.
IEEE DOI 1402
BibRef
Earlier: A1, A2, A3, Only:
Component-based restoration of speckled images,
ICIP11(2797-2800).
IEEE DOI 1201
dictionaries BibRef

Glaister, J., Wong, A., Clausi, D.A.,
Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling,
GeoRS(52), No. 2, February 2014, pp. 1238-1248.
IEEE DOI 1402
Monte Carlo methods BibRef

Liu, C.S.[Chien-Sheng], Chang, Y.C.[Yu-Ching], Lin, K.W.[Kun-Wei], Lin, P.H.[Po-Heng],
Speckle reduction in laser imaging applications using rotating magneto-optical disk,
JOSA-A(31), No. 1, January 2014, pp. 16-20.
DOI Link 1402
Imaging systems, Speckle imaging, Displays, Spatial light modulators BibRef

di Martino, G., Poderico, M., Poggi, G., Riccio, D., Verdoliva, L.,
Benchmarking Framework for SAR Despeckling,
GeoRS(52), No. 3, March 2014, pp. 1596-1615.
IEEE DOI 1403
geophysical image processing BibRef

Zhong, H., Zhang, J., Liu, G.,
Robust Polarimetric SAR Despeckling Based on Nonlocal Means and Distributed Lee Filter,
GeoRS(52), No. 7, July 2014, pp. 4198-4210.
IEEE DOI 1403
Covariance matrices BibRef

Lang, F.[Fengkai], Yang, J.[Jie], Li, D.R.[De-Ren], Shi, L., Wei, J.,
Mean-Shift-Based Speckle Filtering of Polarimetric SAR Data,
GeoRS(52), No. 7, July 2014, pp. 4440-4454.
IEEE DOI 1403
Bandwidth BibRef

Lang, F.[Fengkai], Yang, J.[Jie], Li, D.R.[De-Ren],
Adaptive-Window Polarimetric SAR Image Speckle Filtering Based on a Homogeneity Measurement,
GeoRS(53), No. 10, October 2015, pp. 5435-5446.
IEEE DOI 1509
adaptive filters BibRef

Lang, F.[Fengkai], Yang, J.[Jie], Wu, L., Li, D.R.[De-Ren],
Multiscale Segmentation Of Polarimetric Sar Image Based On Srm Superpixels,
ISPRS16(B7: 283-287).
DOI Link 1610
BibRef

Lang, F.[Fengkai], Yang, J.[Jie], Zhao, L., Li, D.R.[De-Ren],
Hierarchical Classification of Polarimetric SAR Image Based on Statistical Region Merging,
AnnalsPRS(I-7), No. 2012, pp. 147-152.
DOI Link 1209
BibRef

Navarro-Sanchez, V.D., Lopez-Sanchez, J.M.,
Spatial Adaptive Speckle Filtering Driven by Temporal Polarimetric Statistics and Its Application to PSI,
GeoRS(52), No. 8, August 2014, pp. 4548-4557.
IEEE DOI 1403
Estimation BibRef

di Martino, G., Iodice, A., Riccio, D., Ruello, G.,
Equivalent Number of Scatterers for SAR Speckle Modeling,
GeoRS(52), No. 5, May 2014, pp. 2555-2564.
IEEE DOI 1403
Electromagnetic scattering BibRef

Feng, W.S.[Wen-Sen], Lei, H.[Hong], Gao, Y.[Yang],
Speckle Reduction via Higher Order Total Variation Approach,
IP(23), No. 4, April 2014, pp. 1831-1843.
IEEE DOI 1404
edge detection BibRef

Foucher, S., Lopez-Martinez, C.,
Analysis, Evaluation, and Comparison of Polarimetric SAR Speckle Filtering Techniques,
IP(23), No. 4, April 2014, pp. 1751-1764.
IEEE DOI 1404
Markov processes BibRef

Yang, X.Z.[Xue-Zhi], Wu, K.W.[Ke-Wei], Tang, Y.M.[Yi-Ming],
A new metric for measuring structure-preserving capability of despeckling of SAR images,
PandRS(94), No. 1, 2014, pp. 143-159.
Elsevier DOI 1407
Synthetic aperture radar (SAR) images BibRef

Chai, A., Moscoso, M., Papanicolaou, G.,
Imaging Strong Localized Scatterers with Sparsity Promoting Optimization,
SIIMS(7), No. 2, 2014, pp. 1358-1387.
DOI Link 1407
BibRef

Wu, J.[Jie], Liu, F.[Fang], Jiao, L.C.[Li-Cheng], Zhang, X.R.[Xiang-Rong], Hao, H.X.[Hong-Xia], Wang, S.[Shuang],
Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kernel Function,
GeoRS(52), No. 9, Sept 2014, pp. 5751-5764.
IEEE DOI 1407
maximum likelihood detection BibRef

Liu, F.[Fang], Wu, J., Li, L., Jiao, L.C.[Li-Cheng], Hao, H.X.[Hong-Xia], Zhang, X.R.[Xiang-Rong],
A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood,
GeoRS(56), No. 2, February 2018, pp. 730-748.
IEEE DOI 1802
Backscatter, Estimation, Image resolution, Measurement, Speckle, Synthetic aperture radar, Adaptive neighborhood (AN), spatial directionality BibRef

Yahya, N., Kamel, N.S., Malik, A.S.,
Subspace-Based Technique for Speckle Noise Reduction in SAR Images,
GeoRS(52), No. 10, October 2014, pp. 6257-6271.
IEEE DOI 1407
Eigenvalues and eigenfunctions BibRef

Xu, L., Li, J., Shu, Y., Peng, J.,
SAR Image Denoising via Clustering-Based Principal Component Analysis,
GeoRS(52), No. 11, November 2014, pp. 6858-6869.
IEEE DOI 1407
Clustering algorithms BibRef

Hu, G.H.[Guang-Hui], Li, J.Z.[Jing-Zhi], Liu, H.Y.[Hong-Yu], Sun, H.P.[Hong-Peng],
Inverse Elastic Scattering for Multiscale Rigid Bodies with a Single Far-Field Pattern,
SIIMS(7), No. 3, 2014, pp. 1799-1825.
DOI Link 1410
BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Zhang, X.H.[Xiao-Hua],
Despeckling SAR images based on a new probabilistic model in nonsubsampled contourlet transform domain,
SIViP(8), No. 8, November 2014, pp. 1459-1474.
WWW Link. 1411
BibRef

Patrick, M.A.[Mark A.], Joye, C.D.[Colin D.], de Lucia, F.C.[Frank C.],
Multimode illumination for speckle reduction and angle neutrality in millimeter wave active imaging: range and time-resolved mode averaging,
JOSA-A(31), No. 10, October 2014, pp. 2135-2141.
DOI Link 1411
Speckle, Microwaves, Terahertz imaging BibRef

Zhao, Y.[Yao], Liu, J.G.[Jian Guo], Zhang, B.C.[Bing-Chen], Hong, W.[Wen], Wu, Y.R.[Yi-Rong],
Adaptive Total Variation Regularization Based SAR Image Despeckling and Despeckling Evaluation Index,
GeoRS(53), No. 5, May 2015, pp. 2765-2774.
IEEE DOI 1502
edge detection BibRef

Nie, X.L.[Xiang-Li], Qiao, H.[Hong], Zhang, B.[Bo],
A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution,
IP(24), No. 4, April 2015, pp. 1209-1222.
IEEE DOI 1503
covariance matrices BibRef

Nie, X.L.[Xiang-Li], Zhang, B.[Bo], Chen, Y., Qiao, H.[Hong],
A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model,
SPLetters(23), No. 10, October 2016, pp. 1409-1413.
IEEE DOI 1610
computational complexity BibRef

Nie, X.L.[Xiang-Li], Qiao, H.[Hong], Zhang, B.[Bo], Huang, X.,
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction,
IP(25), No. 6, June 2016, pp. 2620-2634.
IEEE DOI 1605
image denoising BibRef

Feng, W.[Wensen], Lei, H.[Hong], Qiao, H.[Hong],
Synthetic aperture radar image despeckling via total generalised variation approach,
IET-IPR(9), No. 3, 2015, pp. 236-248.
DOI Link 1504
Monte Carlo methods BibRef

Patrick, M.A.[Mark A.], Holt, J.A.[Jennifer A.], Joye, C.D.[Colin D.], de Lucia, F.C.[Frank C.],
Range resolved mode mixing in a large volume for the mitigation of speckle and strategic target orientation requirements in active millimeter-wave imaging,
JOSA-A(32), No. 4, April 2015, pp. 637-646.
DOI Link 1504
Speckle, Microwaves, Terahertz imaging BibRef

Ni, W.P.[Wei-Ping], Gao, X.B.[Xin-Bo],
Despeckling of SAR Image Using Generalized Guided Filter With Bayesian Nonlocal Means,
GeoRS(54), No. 1, January 2016, pp. 567-579.
IEEE DOI 1601
image restoration BibRef

Meyer, F.J., Chotoo, K., Chotoo, S.D., Huxtable, B.D., Carrano, C.S.,
The Influence of Equatorial Scintillation on L-Band SAR Image Quality and Phase,
GeoRS(54), No. 2, February 2016, pp. 869-880.
IEEE DOI 1601
Distortion
See also Comments on The Influence of Equatorial Scintillation on L-Band SAR Image Quality and Phase. BibRef

Todorovich, E.[Elías], Pra, A.L.D.[Ana Lucia Dai], Passoni, L.I.[Lucia Isabel], Vázquez, M.[Martín], Cozzolino, E.[Ezequiel], Ferrara, F.[Fernando], Bioul, G.[Gery],
Real-time speckle image processing,
RealTimeIP(11), No. 3, March 2016, pp. 535-545.
Springer DOI 1604
BibRef

Gao, F., Xue, X., Sun, J., Wang, J., Zhang, Y.,
A SAR Image Despeckling Method Based on Two-Dimensional S Transform Shrinkage,
GeoRS(54), No. 5, May 2016, pp. 3025-3034.
IEEE DOI 1604
radar imaging BibRef

Ma, X., Shen, H., Zhao, X., Zhang, L.,
SAR Image Despeckling by the Use of Variational Methods With Adaptive Nonlocal Functionals,
GeoRS(54), No. 6, June 2016, pp. 3421-3435.
IEEE DOI 1606
geophysical image processing BibRef

di Martino, G., di Simone, A., Iodice, A., Riccio, D.,
Scattering-Based Nonlocal Means SAR Despeckling,
GeoRS(54), No. 6, June 2016, pp. 3574-3588.
IEEE DOI 1606
image denoising BibRef

Wu, Y.[Yulian],
Speckle noise removal via nonlocal low-rank regularization,
JVCIR(39), No. 1, 2016, pp. 172-180.
Elsevier DOI 1608
Speckle noise BibRef

Horch, E.[Elliott],
Turning on to speckle imaging,
SPIE(Newsroom), June 24, 2016
DOI Link 1608
Speckle imaging, an older technique for obtaining diffraction-limited resolution with large telescopes, is back in a big way thanks to electron-multiplying CCDs. BibRef

Woo, H., Ha, J.,
Besta-Divergence-Based Variational Model for Speckle Reduction,
SPLetters(23), No. 11, November 2016, pp. 1557-1561.
IEEE DOI 1609
maximum likelihood estimation BibRef

Sumaiya, M.N., Kumari, R.S.S.[R. Shantha Selva],
SAR image despeckling using heavy-tailed Burr distribution,
SIViP(11), No. 1, January 2017, pp. 49-55.
WWW Link. 1702
BibRef

Liu, S.Q.[Shuai-Qi], Hu, Q.[Qi], Li, P.F.[Peng-Fei], Zhao, J.[Jie], Wang, C.[Chong], Zhu, Z.H.[Zhi-Hui],
Speckle Suppression Based on Sparse Representation with Non-Local Priors,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Gomez, L.[Luis], Ospina, R.[Raydonal], Frery, A.C.[Alejandro C.],
Unassisted Quantitative Evaluation of Despeckling Filters,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Wang, Z.[Zelong], Tan, X.T.[Xin-Tong], Yu, Q.[Qi], Zhu, J.[Jubo],
Sparse PDE for SAR image speckle suppression,
IET-IPR(11), No. 6, June 2017, pp. 425-432.
DOI Link 1706
BibRef

Wu, J.[Jun], Yu, Z.J.[Zhi-Jing], Wang, T.[Tao], Zhuge, J.C.[Jing-Chang], Ji, Y.[Yue], Xue, B.[Bin],
Airplane wing deformation and flight flutter detection method by using three-dimensional speckle image correlation technology,
JOSA-A(34), No. 6, June 2017, pp. 924-930.
DOI Link 1706
Metrological instrumentation, Speckle imaging, Vibration analysis, Vision-binocular and stereopsis, Visual optics, metrology BibRef

Deledalle, C.A., Denis, L., Tabti, S., Tupin, F.,
MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction?,
IP(26), No. 9, September 2017, pp. 4389-4403.
IEEE DOI 1708
AWGN, image denoising, radar imaging, radar interferometry, radar polarimetry, speckle, synthetic aperture radar, Image denoising, MuLoG, SAR imaging satellite, SAR signal, additive Gaussian noise suppression, image processing, interferometric mode, tomographic mode, Additives, Estimation, Image restoration, Noise reduction, Radar imaging, Speckle, Synthetic aperture radar, ADMM, SAR, Wishart distribution, speckle, variance, stabilization BibRef

Mahapatra, D.K.[Dheeren Ku], Ray, S.S.[Soumya Shubhra], Roy, L.P.[Lakshi Prosad],
Maximum a posteriori-based texture estimation by despeckling of SAR clutter amplitude data,
IET-IPR(11), No. 8, August 2017, pp. 656-666.
DOI Link 1708
BibRef

Jidesh, P., Bini, A.A.,
Image despeckling and deblurring via regularized complex diffusion,
SIViP(11), No. 6, September 2017, pp. 977-984.
WWW Link. 1708
BibRef

Chierchia, G., El Gheche, M., Scarpa, G., Verdoliva, L.,
Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering,
GeoRS(55), No. 10, October 2017, pp. 5467-5480.
IEEE DOI 1710
geophysical techniques, SAR-BM3D, collaborative filtering, multitemporal SAR image despeckling, Collaboration, Filtering, Lattices, Speckle, Synthetic aperture radar, Despeckling, multitemporal, nonlocal filter, synthetic, aperture, radar, (SAR) BibRef

Wang, P.Y.[Pu-Yang], Zhang, H.[He], Patel, V.M.[Vishal M.],
SAR Image Despeckling Using a Convolutional Neural Network,
SPLetters(24), No. 12, December 2017, pp. 1763-1767.
IEEE DOI 1712
image denoising, neural nets, radar imaging, speckle, synthetic aperture radar, Euclidean loss, ID-CNN, synthetic aperture radar (SAR) BibRef

Ma, X.L.[Xiao-Le], Hu, S.H.[Shao-Hai], Liu, S.Q.[Shuai-Qi],
SAR Image De-Noising Based on Shift Invariant K-SVD and Guided Filter,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zhang, Q.A.[Qi-Ang], Yuan, Q.Q.[Qiang-Qiang], Li, J.[Jie], Yang, Z.[Zhen], Ma, X.S.[Xiao-Shuang],
Learning a Dilated Residual Network for SAR Image Despeckling,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Guo, F.C.[Feng-Cheng], Zhang, G.[Guo], Zhang, Q.J.[Qing-Jun], Zhao, R.S.[Rui-Shan], Deng, M.J.[Ming-Jun], Xu, K.[Kai],
Speckle Suppression by Weighted Euclidean Distance Anisotropic Diffusion,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Dong, J., Liao, M., Zhang, L., Gong, J.,
A Unified Approach of Multitemporal SAR Data Filtering Through Adaptive Estimation of Complex Covariance Matrix,
GeoRS(56), No. 9, September 2018, pp. 5320-5333.
IEEE DOI 1809
Synthetic aperture radar, Speckle, Covariance matrices, Estimation, Remote sensing, Scattering, statistically homogeneous pixels (SHPs) BibRef

Yuan, J.[Jili], Lv, X.L.[Xiao-Lei], Li, R.[Rui],
A Speckle Filtering Method Based on Hypothesis Testing for Time-Series SAR Images,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Gao, G., Gao, S., Ouyang, K., He, J., Li, G.,
Scheme for Characterizing Clutter Statistics in SAR Amplitude Images by Combining Two Parametric Models,
GeoRS(56), No. 10, October 2018, pp. 5636-5646.
IEEE DOI 1810
Synthetic aperture radar, Data models, Clutter, Parametric statistics, Analytical models, Parameter estimation, statistical modeling BibRef

Gleich, D.,
Optimal-Dual-Based L_1 Analysis for Speckle Reduction of SAR Data,
GeoRS(56), No. 11, November 2018, pp. 6674-6685.
IEEE DOI 1811
Speckle, Synthetic aperture radar, Optimization, Data models, Minimization, TV, Analytical models, Image enhancement, synthetic aperture radar BibRef

Karakus, O., Kuruoglu, E.E., Altinkaya, M.A.,
Generalized Bayesian Model Selection for Speckle on Remote Sensing Images,
IP(28), No. 4, April 2019, pp. 1748-1758.
IEEE DOI 1901
Bayes methods, geophysical image processing, image denoising, Markov processes, Monte Carlo methods, radar imaging, generalized (heavy-tailed) Rayleigh distribution BibRef

Ren, Y.X.[Ye-Xian], Yang, J.[Jie], Zhao, L.L.[Ling-Li], Li, P.X.[Ping-Xiang], Liu, Z.Q.[Zhi-Qu], Shi, L.[Lei],
A Global Weighted Least-Squares Optimization Framework for Speckle Filtering of PolSAR Imagery,
GeoRS(57), No. 3, March 2019, pp. 1265-1277.
IEEE DOI 1903
image filtering, least squares approximations, optimisation, radar imaging, radar polarimetry, synthetic aperture radar, spatially inhomogeneous Laplacian matrix BibRef

Liu, W.[Wei], Chen, X.G.[Xiao-Gang], Shen, C.H.[Chuan-Hua], Liu, Z.[Zhi], Yang, J.[Jie],
Semi-Global Weighted Least Squares in Image Filtering,
ICCV17(5862-5870)
IEEE DOI 1802
computer graphics, image filtering, iterative methods, least squares approximations, Visualization BibRef

Wang, R.F.[Rong-Fang], Chen, J.W.[Jia-Wei], Jiao, L.C.[Li-Cheng], Wang, M.[Mi],
How Can Despeckling and Structural Features Benefit to Change Detection on Bitemporal SAR Images?,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Liu, S.Q.[Shuai-Qi], Liu, T.[Tong], Gao, L.[Lele], Li, H.L.[Hai-Liang], Hu, Q.[Qi], Zhao, J.[Jie], Wang, C.[Chong],
Convolutional Neural Network and Guided Filtering for SAR Image Denoising,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Ma, X., Wu, P., Shen, H.,
A Nonlinear Guided Filter for Polarimetric SAR Image Despeckling,
GeoRS(57), No. 4, April 2019, pp. 1918-1927.
IEEE DOI 1904
adaptive filters, computational complexity, image filtering, nonlinear filters, radar imaging, radar polarimetry, speckle, Wishart distribution BibRef

Yang, P.[Peng], Ding, H.[Hong], Xiong, H.[Hui], Zheng, L.[Linhua],
Adaptive importance sampling for estimating multi-component chirp signal parameters in colored noise,
SIViP(13), No. 3, April 2019, pp. 617-625.
WWW Link. 1904
BibRef

Liu, S., Hu, Q., Li, P., Zhao, J., Liu, M., Zhu, Z.,
Speckle Suppression Based on Weighted Nuclear Norm Minimization and Grey Theory,
GeoRS(57), No. 5, May 2019, pp. 2700-2708.
IEEE DOI 1905
feature extraction, image denoising, matrix algebra, minimisation, speckle, wavelet transforms, noisy images, speckle noise, weighted nuclear norm minimization (WNNM) BibRef

Shahrezaei, I.H.[Iman Heidarpour], Kim, H.C.[Hyun-Cheol],
Resolutional Analysis of Multiplicative High-Frequency Speckle Noise Based on SAR Spatial De-Speckling Filter Implementation and Selection,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Zhao, W., Deledalle, C., Denis, L., Maître, H., Nicolas, J., Tupin, F.,
Ratio-Based Multitemporal SAR Images Denoising: RABASAR,
GeoRS(57), No. 6, June 2019, pp. 3552-3565.
IEEE DOI 1906
Speckle, Synthetic aperture radar, Noise reduction, Time series analysis, Spatial resolution, Estimation, superimage BibRef

Choi, H.[Hyunho], Jeong, J.C.[Je-Chang],
Speckle Noise Reduction Technique for SAR Images Using Statistical Characteristics of Speckle Noise and Discrete Wavelet Transform,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Lattari, F.[Francesco], Leon, B.G.[Borja Gonzalez], Asaro, F.[Francesco], Rucci, A.[Alessio], Prati, C.[Claudio], Matteucci, M.[Matteo],
Deep Learning for SAR Image Despeckling,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Kanoun, B.[Bilel], Ferraioli, G.[Giampaolo], Pascazio, V.[Vito], Schirinzi, G.[Gilda],
Fast GPU-Based Enhanced Wiener Filter for Despeckling SAR Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Liu, C., Li, H., Liao, W., Philips, W., Emery, W.,
Variational Textured Dirichlet Process Mixture Model With Pairwise Constraint for Unsupervised Classification of Polarimetric SAR Images,
IP(28), No. 8, August 2019, pp. 4145-4160.
IEEE DOI 1907
Data models, Mixture models, Correlation, Scattering, Speckle, Covariance matrices, Compounds, remote sensing BibRef

Ren, Y., Yang, J., Zhao, L., Li, P., Shi, L.,
SIRV-Based High-Resolution PolSAR Image Speckle Suppression via Dual-Domain Filtering,
GeoRS(57), No. 8, August 2019, pp. 5923-5938.
IEEE DOI 1908
image filtering, image matching, image reconstruction, image resolution, image texture, iterative methods, radar clutter, spherically invariant random vector (SIRV) BibRef

Erer, I.[Isin], Kaplan, N.H.[Nur Huseyin],
Fast local SAR image despeckling by edge-avoiding wavelets,
SIViP(13), No. 6, September 2019, pp. 1071-1078.
WWW Link. 1908
BibRef

Penna, P.A.A., Mascarenhas, N.D.A.,
SAR Speckle Nonlocal Filtering With Statistical Modeling of Haar Wavelet Coefficients and Stochastic Distances,
GeoRS(57), No. 9, September 2019, pp. 7194-7208.
IEEE DOI 1909
Speckle, Synthetic aperture radar, Wavelet transforms, Radar polarimetry, AWGN, Wavelet domain, Stochastic processes, stochastic distances BibRef

Vitale, S., Cozzolino, D., Scarpa, G., Verdoliva, L., Poggi, G.,
Guided Patchwise Nonlocal SAR Despeckling,
GeoRS(57), No. 9, September 2019, pp. 6484-6498.
IEEE DOI 1909
Optical imaging, Adaptive optics, Optical sensors, Synthetic aperture radar, Radar polarimetry, Optical filters, SAR-optical fusion BibRef

Ji, Y., Zhang, Y., Zhang, Q., Dong, Z.,
Comments on 'The Influence of Equatorial Scintillation on L-Band SAR Image Quality and Phase',
GeoRS(57), No. 9, September 2019, pp. 7300-7301.
IEEE DOI 1909
Synthetic aperture radar, L-band, Radar polarimetry, Remote sensing, Orbits, Radar tracking, Phased arrays, stripe heading
See also Influence of Equatorial Scintillation on L-Band SAR Image Quality and Phase, The. BibRef

Pan, T.[Ting], Peng, D.[Dong], Yang, W.[Wen], Li, H.C.[Heng-Chao],
A Filter for SAR Image Despeckling Using Pre-Trained Convolutional Neural Network Model,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Ferraioli, G., Pascazio, V., Schirinzi, G.,
Ratio-Based Nonlocal Anisotropic Despeckling Approach for SAR Images,
GeoRS(57), No. 10, October 2019, pp. 7785-7798.
IEEE DOI 1910
image filtering, image restoration, image segmentation, radar imaging, statistical distributions, synthetic aperture radar (SAR) BibRef

Zhou, Y.Y.[Yuan-Yuan], Shi, J.[Jun], Yang, X.Q.[Xia-Qing], Wang, C.[Chen], Kumar, D.[Durga], Wei, S.J.[Shun-Jun], Zhang, X.L.[Xiao-Ling],
Deep Multi-Scale Recurrent Network for Synthetic Aperture Radar Images Despeckling,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zhang, G.[Guo], Guo, F.C.[Feng-Cheng], Zhang, Q.J.[Qing-Jun], Xu, K.[Kai], Jia, P.[Peng], Hao, X.Y.[Xiao-Yun],
Speckle Reduction by Directional Coherent Anisotropic Diffusion,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Li, J.Y.[Jing-Yu], Li, Y.[Ying], Xiao, Y.[Yayuan], Bai, Y.P.[Yun-Peng],
HDRANet: Hybrid Dilated Residual Attention Network for SAR Image Despeckling,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Arienzo, A.[Alberto], Argenti, F.[Fabrizio], Alparone, L.[Luciano], Gherardelli, M.[Monica],
Accurate Despeckling and Estimation of Polarimetric Features by Means of a Spatial Decorrelation of the Noise in Complex PolSAR Data,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
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Chen, G., Li, G., Liu, Y., Zhang, X.P., Zhang, L.,
SAR Image Despeckling Based on Combination of Fractional-Order Total Variation and Nonlocal Low Rank Regularization,
GeoRS(58), No. 3, March 2020, pp. 2056-2070.
IEEE DOI 2003
BibRef
Earlier:
SAR image despeckling by combination of fractional-order total variation and nonlocal low rank regularization,
ICIP17(3210-3214)
IEEE DOI 1803
Alternating direction, fractional-order total variation (FrTV), nonlocal low rank (NLR), synthetic aperture radar (SAR) image despeckling. Geoscience, Imaging, Indexes, Mathematics, Reactive power, Remote sensing, alternating direction. BibRef

Cozzolino, D.[Davide], Verdoliva, L.[Luisa], Scarpa, G.[Giuseppe], Poggi, G.[Giovanni],
Nonlocal CNN SAR Image Despeckling,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
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Guo, F., Zhang, G., Zhang, Q., Zhao, R., Deng, M., Xu, K., Jia, P., Hao, X.,
Fusion Despeckling Based on Surface Variation Anisotropic Diffusion Filter and Ratio Image Filter,
GeoRS(58), No. 4, April 2020, pp. 2398-2411.
IEEE DOI 2004
Anisotropic diffusion (AD), ratio image filter, speckle reduction, surface variation BibRef

Blasco, J.M.D.[José Manuel Delgado], Fitrzyk, M.[Magdalena], Patruno, J.[Jolanda], Ruiz-Armenteros, A.M.[Antonio Miguel], Marconcini, M.[Mattia],
Effects on the Double Bounce Detection in Urban Areas Based on SAR Polarimetric Characteristics,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Ai, J., Luo, Q., Yang, X., Yin, Z., Xu, H.,
Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood- Estimator in SAR Imagery,
ITS(21), No. 5, May 2020, pp. 2039-2049.
IEEE DOI 2005
Clutter, Parameter estimation, Detectors, Marine vehicles, Adaptation models, Synthetic aperture radar, truncated-maximum-likelihood-estimator BibRef

Chen, S.,
SAR Image Speckle Filtering With Context Covariance Matrix Formulation and Similarity Test,
IP(29), 2020, pp. 6641-6654.
IEEE DOI 2007
Covariance matrices, Speckle, Synthetic aperture radar, Microwave filters, Optical filters, Scattering, very high resolution (VHR) BibRef

Majee, S.[Sudeb], Ray, R.K.[Rajendra K.], Majee, A.K.[Ananta K.],
A Gray Level Indicator-Based Regularized Telegraph Diffusion Model: Application to Image Despeckling,
SIIMS(13), No. 2, 2020, pp. 844-870.
DOI Link 2007
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Majee, S.[Sudeb], Ray, R.K.[Rajendra K.], Majee, A.K.[Ananta K.],
A Gray Level Indicator-Based Regularized Telegraph Diffusion Model: Application to Image Despeckling,
SIIMS(13), No. 2, 2020, pp. 844-870.
DOI Link 2007
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Salehi, H.[Hadi], Vahidi, J.[Javad], Abdeljawad, T.[Thabet], Khan, A.[Aziz], Rad, S.Y.B.[Seyed Yaser Bozorgi],
A SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008

See also Ultrasound Image Despeckling Method Based on Weighted Adaptive Bilateral Filter, An. BibRef

Dalsasso, E.[Emanuele], Yang, X.L.[Xiang-Li], Denis, L.[Loďc], Tupin, F.[Florence], Yang, W.[Wen],
SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Baier, G., He, W., Yokoya, N.,
Robust Nonlocal Low-Rank SAR Time Series Despeckling Considering Speckle Correlation by Total Variation Regularization,
GeoRS(58), No. 11, November 2020, pp. 7942-7954.
IEEE DOI 2011
Synthetic aperture radar, Speckle, Time series analysis, Noise reduction, Correlation, Estimation, Radar polarimetry, total variation (TV) BibRef

Chen, L., Jiang, X., Li, Z., Liu, X., Zhou, Z.,
Feature-Enhanced Speckle Reduction via Low-Rank and Space-Angle Continuity for Circular SAR Target Recognition,
GeoRS(58), No. 11, November 2020, pp. 7734-7752.
IEEE DOI 2011
Synthetic aperture radar, Speckle, Feature extraction, Tensile stress, Clutter, Image recognition, Target recognition, speckle reduction BibRef

Ma, X.S.[Xiao-Shuang], Wang, C.[Chen], Yin, Z.X.[Zhi-Xiang], Wu, P.H.[Peng-Hai],
SAR Image Despeckling by Noisy Reference-Based Deep Learning Method,
GeoRS(58), No. 12, December 2020, pp. 8807-8818.
IEEE DOI 2012
Training, Noise measurement, Synthetic aperture radar, Noise reduction, Machine learning, Task analysis, Speckle, synthetic aperture radar (SAR) BibRef

Wang, C.[Chen], Yin, Z.X.[Zhi-Xiang], Ma, X.S.[Xiao-Shuang], Yang, Z.T.[Zhu-Tao],
SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method,
RS(14), No. 4, 2022, pp. xx-yy.
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Karimi, N.[Naser], Taban, M.R.[Mohammad Reza],
A convex variational method for super resolution of SAR image with speckle noise,
SP:IC(90), 2021, pp. 116061.
Elsevier DOI 2012
Super resolution, Synthetic aperture radar, Speckle noise, Sparse representation, Total variation, Feature space BibRef

Shen, H., Zhou, C., Li, J., Yuan, Q.,
SAR Image Despeckling Employing a Recursive Deep CNN Prior,
GeoRS(59), No. 1, January 2021, pp. 273-286.
IEEE DOI 2012
Synthetic aperture radar, Machine learning, Optimization, Speckle, Image restoration, Learning systems, Transforms, variation BibRef

Sun, Y., Lei, L., Guan, D., Li, X., Kuang, G.,
SAR Image Speckle Reduction Based on Nonconvex Hybrid Total Variation Model,
GeoRS(59), No. 2, February 2021, pp. 1231-1249.
IEEE DOI 2101
TV, Radar polarimetry, Speckle, Synthetic aperture radar, Image edge detection, Transforms, Scattering BibRef

Liu, G.[Gang], Kang, H.Z.[Hong-Zhaoning], Wang, Q.[Quan], Tian, Y.M.[Yu-Min], Wan, B.[Bo],
Contourlet-CNN for SAR Image Despeckling,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Maji, S.K.[Suman Kumar], Thakur, R.K.[Ramesh Kumar], Yahia, H.M.[Hussein M.],
SAR image denoising based on multifractal feature analysis and TV regularisation,
IET-IPR(14), No. 16, 19 December 2020, pp. 4158-4167.
DOI Link 2103
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Liu, S.Q.[Shuai-Qi], Gao, L.[Lele], Lei, Y.[Yu], Wang, M.H.[Miao-Hui], Hu, Q.[Qi], Ma, X.L.[Xiao-Le], Zhang, Y.D.[Yu-Dong],
SAR Speckle Removal Using Hybrid Frequency Modulations,
GeoRS(59), No. 5, May 2021, pp. 3956-3966.
IEEE DOI 2104
Speckle, Noise reduction, Radar polarimetry, Synthetic aperture radar, Wavelet transforms, Spinning, synthetic aperture radar (SAR) speckle removal BibRef

Kamath, P.R.[Priya R.], Senapati, K.[Kedarnath], Jidesh, P.,
Despeckling of SAR Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform,
IJIG(21), No. 2 2021, pp. 2150023.
DOI Link 2105
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Rubel, O.[Oleksii], Lukin, V.[Vladimir], Rubel, A.[Andrii], Egiazarian, K.[Karen],
Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Passah, A.[Alicia], Amitab, K.[Khwairakpam], Kandar, D.[Debdatta],
SAR image despeckling using deep CNN,
IET-IPR(15), No. 6, 2021, pp. 1285-1297.
DOI Link 2106
BibRef

Huang, C.J.[Chang-Jun], Zhou, X.H.[Xing-Hua], Hu, J.Y.[Ji-Yuan], Zhou, Q.S.[Qing-Shan],
SAR image noise suppression of BEMD by the kernel principle component analysis,
IET-IPR(15), No. 1, 2021, pp. 155-165.
DOI Link 2106
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Zwieback, S.[Simon], Meyer, F.J.[Franz J.],
Repeat-Pass Interferometric Speckle,
GeoRS(59), No. 8, August 2021, pp. 6736-6750.
IEEE DOI 2108
Speckle, Uncertainty, Strain, Estimation, Compounds, Gaussian distribution, Covariance matrices, Radar clutter, synthetic aperture radar BibRef

Wang, H.[Hao], Ding, Z.D.[Zhen-Dong], Li, X.Y.[Xin-Yi], Shen, S.Y.[Shi-Yu], Ye, X.D.[Xiao-Dong], Zhang, D.[Dan], Tao, S.F.[Shi-Fei],
Convolutional Neural Network with a Learnable Spatial Activation Function for SAR Image Despeckling and Forest Image Analysis,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Yuan, Y.[Ye], Wu, Y.X.[Yan-Xia], Fu, Y.[Yan], Wu, Y.[Yulei], Zhang, L.[Lidan], Jiang, Y.[Yan],
An Advanced SAR Image Despeckling Method by Bernoulli-Sampling-Based Self-Supervised Deep Learning,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Zhao, Z.[Zhuoyi], Wu, Z.[Zherong], Zheng, Y.[Yi], Ma, P.F.[Pei-Feng],
Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values,
PandRS(180), 2021, pp. 227-237.
Elsevier DOI 2109
InSAR, Atmospheric noise, Time series, Deep learning, RNN, Missing values BibRef

Xiong, K.[Kai], Zhao, G.H.[Guang-Hui], Wang, Y.B.[Ying-Bin], Shi, G.M.[Guang-Ming],
SPB-Net: A Deep Network for SAR Imaging and Despeckling With Downsampled Data,
GeoRS(59), No. 11, November 2021, pp. 9238-9256.
IEEE DOI 2111
Imaging, Speckle, Radar polarimetry, Synthetic aperture radar, Radar imaging, Real-time systems, Computational modeling, synthetic aperture radar (SAR) BibRef

Qian, X.X.[Xiao-Xue], Liu, F.[Fang], Jiao, L.C.[Li-Cheng], Zhang, X.R.[Xiang-Rong], Guo, Y.W.[Yu-Wei], Liu, X.[Xu], Cui, Y.H.[Yuan-Hao],
Ridgelet-Nets With Speckle Reduction Regularization for SAR Image Scene Classification,
GeoRS(59), No. 11, November 2021, pp. 9290-9306.
IEEE DOI 2111
Radar polarimetry, Speckle, Feature extraction, Semantics, Kernel, Visualization, Synthetic aperture radar, synthetic aperture radar (SAR) image BibRef

Vitale, S.[Sergio], Ferraioli, G.[Giampaolo], Pascazio, V.[Vito],
Multi-Objective CNN-Based Algorithm for SAR Despeckling,
GeoRS(59), No. 11, November 2021, pp. 9336-9349.
IEEE DOI 2111
Speckle, Radar polarimetry, Synthetic aperture radar, Cost function, Backscatter, Training, Noise measurement, synthetic aperture radar (SAR) BibRef

Huang, X.J.[Xue-Jun], Xu, Z.[Zhong], Ding, J.S.[Jin-Shan],
Video SAR Image Despeckling by Unsupervised Learning,
GeoRS(59), No. 12, December 2021, pp. 10151-10160.
IEEE DOI 2112
Radar polarimetry, Speckle, Training, Noise measurement, Noise reduction, Synthetic aperture radar, Image registration, video synthetic aperture radar (SAR) BibRef

Zhang, G.[Gang], Li, Z.[Zhi], Li, X.[Xuewei], Liu, S.[Sitong],
Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Mullissa, A.G.[Adugna G.], Marcos, D.[Diego], Tuia, D.[Devis], Herold, M.[Martin], Reiche, J.[Johannes],
deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling,
GeoRS(60), 2022, pp. 1-15.
IEEE DOI 2112
Radar polarimetry, Speckle, Synthetic aperture radar, Noise measurement, Image reconstruction, Adaptation models, TV, synthetic aperture radar (SAR) BibRef

Jiang, W.K.[Wang-Kui], Li, Y.[Yan], Liao, M.M.[Meng-Meng], Wang, S.F.[Sha-Fei],
An Improved LPI Radar Waveform Recognition Framework With LDC-Unet and SSR-Loss,
SPLetters(29), 2022, pp. 149-153.
IEEE DOI 2202
Radar, Time-frequency analysis, Signal to noise ratio, Decoding, Radar imaging, Convolution, Training, Local dense connection U-net, waveform recognition BibRef

Chan, D.[Debora], Gambini, J.[Juliana], Frery, A.C.[Alejandro C.],
Entropy-Based Non-Local Means Filter for Single-Look SAR Speckle Reduction,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Li, J.[Jiamu], Wang, Z.J.[Zi-Jian], Yu, W.B.[Wen-Bo], Luo, Y.H.[Yun-Hua], Yu, Z.J.[Zhong-Jun],
A Novel Speckle Suppression Method with Quantitative Combination of Total Variation and Anisotropic Diffusion PDE Model,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Majee, S.[Sudeb], Ray, R.K.[Rajendra K.], Majee, A.K.[Ananta K.],
A New Non-Linear Hyperbolic-Parabolic Coupled PDE Model for Image Despeckling,
IP(31), 2022, pp. 1963-1977.
IEEE DOI 2202
Mathematical models, Image edge detection, Speckle, Numerical models, Radar polarimetry, Image restoration, finite difference scheme BibRef

Wang, G.T.[Gong-Tang], Bo, F.[Fuyu], Chen, X.[Xue], Lu, W.F.[Wen-Feng], Hu, S.[Shaohai], Fang, J.[Jing],
A Collaborative Despeckling Method for SAR Images Based on Texture Classification,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Guérit, S.[Stéphanie], Sivankutty, S.[Siddharth], Lee, J.[John], Rigneault, H.[Hervé], Jacques, L.[Laurent],
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning,
SIIMS(15), No. 2, 2022, pp. 387-423.
DOI Link 2205
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Baraha, S.[Satyakam], Sahoo, A.K.[Ajit Kumar],
Restoration of speckle noise corrupted SAR images using regularization by denoising,
JVCIR(86), 2022, pp. 103546.
Elsevier DOI 2206
Denoiser, Despeckling, PnP priors, Rayleigh noise, RED, Synthetic aperture radar BibRef

Ma, W.[Wei], Xin, Z.H.[Zhi-Hui], Liao, G.S.[Gui-Sheng], Sun, Y.[Yu], Wang, Z.[Zhixu], Xuan, J.[Jiayu],
Sub-region non-local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics,
IET-IPR(16), No. 10, 2022, pp. 2665-2679.
DOI Link 2207
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Salehi, H.[Hadi],
Image De-Speckling Based on the Coefficient of Variation, Improved Guided Filter, and Fast Bilateral Filter,
IJIG(22), No. 4, July 2022, pp. 2250036.
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Wang, X.G.[Xi-Gang], Meng, Z.G.[Zhi-Guo], Chen, S.[Si], Feng, Z.Z.[Zhuang-Zhuang], Li, X.[Xinbiao], Guo, T.H.[Tian-Hao], Wang, C.M.[Chun-Mei], Zheng, X.M.[Xing-Ming],
A Block-Scale FFT Filter Based on Spatial Autocorrelation Features of Speckle Noise in SAR Image,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Baraha, S.[Satyakam], Sahoo, A.K.[Ajit Kumar],
Wavelet oriented SAR image despeckling using fractional-order TV and a non-convex sparse prior,
SP:IC(111), 2023, pp. 116900.
Elsevier DOI 2301
Despeckle, Fractional order, Total variation, Rayleigh noise, Wavelet, SAR BibRef

Li, J.[Jiamu], Yu, W.B.[Wen-Bo], Wang, Y.[Yi], Wang, Z.J.[Zi-Jian], Xiao, J.R.[Jia-Rong], Yu, Z.J.[Zhong-Jun], Zhang, D.S.[De-Sheng],
Guidance-Aided Triple-Adaptive Frost Filter for Speckle Suppression in the Synthetic Aperture Radar Image,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Guo, F.C.[Feng-Cheng], Tang, H.R.[Hao-Ran], Liu, W.S.[Wen-Song],
Non-Local Means De-Speckling Based on Multi-Directional Local Plane Inclination Angle,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Fang, J.[Jing], Mao, T.[Taiyong], Bo, F.[Fuyu], Hao, B.[Bomeng], Zhang, N.[Nan], Hu, S.H.[Shao-Hai], Lu, W.F.[Wen-Feng], Wang, X.F.[Xiao-Feng],
A SAR Image-Despeckling Method Based on HOSVD Using Tensor Patches,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Liu, J.[Jing], Liu, R.C.[Run-Chuan],
Synthetic aperture radar image despeckling using convolutional neural networks in wavelet domain,
IET-IPR(17), No. 9, 2023, pp. 2561-2574.
DOI Link 2307
convolutional neural nets, image denoising, synthetic aperture radar, wavelet transforms BibRef

Pongrac, B.[Blaž], Gleich, D.[Dušan],
Despeckling of SAR Images Using Residual Twin CNN and Multi-Resolution Attention Mechanism,
RS(15), No. 14, 2023, pp. 3698.
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Li, H.L.[Hao-Liang], Cui, X.C.[Xing-Chao], Li, M.D.[Ming-Dian], Deng, J.[Junwu], Chen, S.W.[Si-Wei],
Adaptive Speckle Filter for Multi-Temporal PolSAR Image with Multi-Dimensional Information Fusion,
RS(15), No. 14, 2023, pp. 3679.
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Tang, F.[Fanyi], Li, Z.F.[Zhen-Fang], Zhang, Q.J.[Qing-Jun], Suo, Z.Y.[Zhi-Yong], Zhang, Z.X.[Ze-Xi], Xing, C.[Chao], Guo, H.C.[Huan-Cheng],
Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion,
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Chen, Y.Q.[Yu-Qing], Guo, Z.T.[Zhi-Tao],
TranSpeckle: An edge-protected transformer for medical ultrasound image despeckling,
IET-IPR(17), No. 14, 2023, pp. 4014-4027.
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image denoising, image processing, image restoration BibRef


Lu, Y.X.[Yu-Xu], Yang, M.F.[Mei-Fang], Liu, R.W.[Ryan Wen],
DSPNet: Deep Learning-Enabled Blind Reduction of Speckle Noise,
ICPR21(3475-3482)
IEEE DOI 2105
Ultrasonic imaging, Image recognition, Radar imaging, Speckle, Radar polarimetry, Synthetic aperture sonar BibRef

Liu, X., Lu, X., Ma, L.,
An Improved Synthetic Aperture Radar Image Denoising Method Based on Block-matching and 3D Filtering,
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Zakeri, F., Saradjian, M.R., Sahebi, M.R.,
Speckle Reduction in Sar Images Using a Bayesian Multiscale Approach,
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Farhadiani, R., Homayouni, S., Safari, A.,
Impact of Polarimetric SAR Speckle Reduction On Classification Of Agriculture Lands,
SMPR19(379-385).
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Liu, H., Gan, L., Li, D., Truong, T.,
RFI Suppression Based on Atomic Norm Minimization in SAR Signal Recovery,
ICIP19(2040-2044)
IEEE DOI 1910
RFI suppression, SAR signal recovery, atomic norm, joint estimation BibRef

Sharabati, W.K., Xi, B.[Bowei],
Fast local polynomial regression approach for speckle noise removal,
ICPR16(3198-3203)
IEEE DOI 1705
Additive noise, Image resolution, Noise measurement, Noise reduction, Speckle, Synthetic aperture radar, Tuning BibRef

Wang, V.[Victor], Hayes, M.[Michael],
SIFT localisation accuracy on interpolated speckle images,
IVCNZ17(1-6)
IEEE DOI 1902
BibRef
Earlier:
Modelling of feature matching performance on correlated speckle images,
ICVNZ16(1-6)
IEEE DOI 1701
feature extraction, Gaussian processes, image matching, image sampling, interpolation, mean square error methods, speckle. Coherence BibRef

Yu, J.,
Speckle noise reduction via phase-aware clustering-based non-local simultaneous sparse coding,
ICIP16(1978-1982)
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Dictionaries BibRef

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Comparison Of Filters Dedicated To Speckle Suppression In Sar Images,
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Gleich, D., Planinšic, P.,
Despeckling of interferometrie SAR data,
WSSIP16(1-4)
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estimation theory BibRef

Gleich, D., Planinšic, P.,
SAR patch categorization using dual tree orientec wavelet transform and stacked autoencoder,
WSSIP17(1-4)
IEEE DOI 1707
Continuous wavelet transforms, Cost function, Discrete wavelet transforms, Feature extraction, Synthetic aperture radar, Synthetic Aperture Radar, neural network, oriented dual tree wavelet transform, stacked, autoencoder BibRef

Rahimi, M., Yazdi, M.,
A new hybrid algorithm for speckle noise reduction of SAR images based on mean-median filter and SRAD method,
IPRIA15(1-6)
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image denoising BibRef

Preetha, C., Gorthi, S.S., Mishra, D.,
Compressive Sensing framework for simultaneous compression and despeckling of SAR images,
ICAPR15(1-6)
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Nyquist criterion BibRef

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Radlak, K.[Krystian], Smolka, B.[Bogdan],
Adaptive Non-local Means Filtering for Speckle Noise Reduction,
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Multiscale noise-adaptive homomorphic filtering based speckle denoising in laser speckle imaging,
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adaptive filters BibRef

Hazarika, D., Bhuyan, M.,
Despeckling SAR images in the lapped transform domain,
NCVPRIPG13(1-5)
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Bayes methods BibRef

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Image Enhancement and Speckle Reduction of Full Polarimetric SAR Data by Gaussian Markov Random Field,
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Extracting Compact Information from Image Benchmarking Tools: The SAR Despeckling Case,
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Shanthi, I., Valarmathi, M.L.,
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Liu, X.N.[Xu-Nan], Cheng, B.[Bo],
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Jiang, J.[Jiang], Jiang, L.W.[Liang-Wei], Sang, N.[Nong],
Non-local sparse models for SAR image despeckling,
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Speckle Reduction Using Stochastic Distances,
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Edge Preserving SAR Image Despeckling,
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Bayesian TV denoising of SAR images,
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Gabarda, S.[Salvador], Cristóbal, G.[Gabriel],
Speckle Denoising through Local Rényi Entropy Smoothing,
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Jin, H.Y.[Hai-Yan], Sun, X.M.[Xue-Ming],
SAR Image Speckle Noise Suppression Based on DFB Hidden Markov Models Using Immune Clonal Selection Thresholding,
PSIVT10(288-293).
IEEE DOI 1011
BibRef

Frery, A.C.[Alejandro C.], Nascimento, A.D.C.[Abraao D.C.], Cintra, R.J.[Renato J.],
Contrast in speckled imagery with stochastic distances,
ICIP10(69-72).
IEEE DOI 1009
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Cofaru, C.[Corneliu], Philips, W.[Wilfried], van Paepegem, W.[Wim],
Adaptive partitioning method in high resolution speckle imagery for sub-pixel digital image correlation,
ICIP10(769-772).
IEEE DOI 1009
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Li, Y.[Ying], Gong, H.L.[Hong-Li], Wang, Q.[Qing],
Adaptive Enhancement with Speckle Reduction for SAR Images Using Mirror-Extended Curvelet and PSO,
ICPR10(4520-4523).
IEEE DOI 1008
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Zhang, G.[Gong], Shi, W.H.[Wen-Hua], Xu, J.[Jing], Li, N.[Ning], Smith, M.J.T.[Mark J. T.],
SAR image despeckling using undecimated directional filter banks and mean shift,
ICIP09(3833-3836).
IEEE DOI 0911
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Bioucas-Dias, J.M.[Jose M.], Figueiredo, M.A.T.[Mario A. T.],
Total variation restoration of speckled images using a split-bregman algorithm,
ICIP09(3717-3720).
IEEE DOI 0911
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Yang, X.Z.[Xue-Zhi], Clausi, D.A.[David A.],
Structure-preserving speckle reduction of SAR images using nonlocal means filters,
ICIP09(2985-2988).
IEEE DOI 0911
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Gleich, D., Planinsic, P., Kseneman, M., Cucej, Z.,
The Impact of Model Based Despeckling on Soil Moisture Estimation,
WSSIP09(1-4).
IEEE DOI 0906
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Minh, N.T.[Nguyen Tuan], Cat, P.T.[Pham Thuong], Long, P.D.[Pham Duc],
Real Time Speckle Filter by Cellular Neural Network,
CISP09(1-5).
IEEE DOI 0910
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Earlier: A3, A2, Only:
Real-time reconstruction of symmetrical image using Cellular Neural Network,
ICARCV08(1128-1132).
IEEE DOI 1109
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Tang, W.Q.[Wei-Qiang], Wang, F.[Fei], Zhang, D.Z.[Dong-Zhi], Li, X.[Xin], Cui, Y.J.[Yan-Juan],
Filtering Technology of Electronic Speckle Pattern Interferometry Image Based on Curvelet Transform,
CISP09(1-4).
IEEE DOI 0910
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Ai, W.H.[Wei-Hua], Huang, Y.X.[Yun-Xian], Shen, C.L.[Chao-Ling], Liu, X.C.[Xi-Chuan],
Denoising of SAR Images Based on Wavelet Packet,
CISP09(1-4).
IEEE DOI 0910
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Xu, Y.[Yanan], Gao, Q.W.[Qing-Wei], Lu, Y.X.[Yi-Xiang], Zhong, W.N.[Wei-Nian],
Despeckling SAR Images Using Bayes-Shrink in Bandelet Domain,
CISP09(1-4).
IEEE DOI 0910
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Zhang, W.[Wen], Wong, A.[Alexander], Clausi, D.A.[David A.],
JEDI: Adaptive Stochastic Estimation for Joint Enhancement and Despeckling of Images for SAR,
CRV09(101-107).
IEEE DOI 0905
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Ibrahim, W.[Walid], El-Sakka, M.R.[Mahmoud R.],
Coefficient-Tracking Speckle Reducing Anisotropic Diffusion,
ICIAR09(136-145).
Springer DOI 0907
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Xu, K.[Kaiyu], Shi, C.J.[Chao-Jian],
Vision enhancement system for SAR based on infrared video,
IASP09(196-199).
IEEE DOI 0904
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Subrahmanyam, G.R.K.S., Rajagopalan, A.N., Aravind, R., Rigoll, G.[Gerhard],
Edge-preserving unscented Kalman filter for speckle reduction,
ICPR08(1-4).
IEEE DOI 0812
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Gu, H.[Huan], Zhang, G.[Guo], Yan, J.[Jun],
An Insitu Single-pointed Wavelet-Based Method for Noise Reduction in SAR Images,
ISPRS08(B1: 337 ff).
PDF File. 0807
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Wu, Y.D.[Ying-Dan], Yuan, X.X.[Xiu-Xiao],
Wavelet Speckle Reduction for SAR Imagery Based on Edge Detection,
ISPRS08(B1: 117 ff).
PDF File. 0807
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Xing, S.[Shuai], Ma, D.Y.[Dong-Yang],
Speckle Denoising Based on Bivariate Shrinkage Functions and Dual-Tree Complex Wavelet Transform,
ISPRS08(B1: 157 ff).
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Fritz, J.[Jason], Tabb, M.[Mark], Chandrasekar, V.,
Enhancements of an Adaptive Neighborhood Speckle Filtering Algorithm to Improve Analysis of Polarimetric SAR Imagery,
Southwest08(81-84).
IEEE DOI 0803
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Kragh, T.J., Kharbouch, A.A.,
Monotonic Iterative Algorithms for SAR Image Restoration,
ICIP06(645-648).
IEEE DOI 0610
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Aysal, T.C., Barner, K.E.,
Despeckling Utilizing M-Estimators,
ICIP06(1445-1448).
IEEE DOI 0610
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Yu, Y.J.[Yong-Jian], Yadegar, J.,
Regularized Speckle Reducing Anisotropic Diffusion for Feature Characterization,
ICIP06(1577-1580).
IEEE DOI 0610
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Jin, H.Y.[Hai-Yan], Jiao, L.C.[Li-Cheng], Liu, F.[Fang],
A Method of Reducing Speckle Noise of SAR Images Based on Wavelets and Wedgelet HMT Models,
ICPR06(III: 635-638).
IEEE DOI 0609
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Ng, E.H.O.[Edmund Hui-On], Wong, K.T.[Kainam Thomas], Chi, J., Lam, L.[Ling],
Speckle-Noise Reduction via 'Rotated Elliptical-Thresholding' in an Homomorphic Complex-Wavelet Domain,
ICIP05(III: 585-588).
IEEE DOI 0512
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Serir, A., Belouchrani, A.,
Multiplicative multiresolution decomposition for 2D signals: application to speckle reduction in sar images,
ICIP04(I: 657-660).
IEEE DOI 0505
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Tauber, C., Batatia, H., Ayache, A.,
A robust speckle reducing anisotropic diffusion,
ICIP04(I: 247-250).
IEEE DOI 0505
BibRef

Eom, K.B.,
Robust facet model for application to speckle noise removal,
ICPR04(II: 695-698).
IEEE DOI 0409
BibRef

Eom, K.B.,
Speckle noise removal by robust modeling,
ICIP03(III: 165-168).
IEEE DOI 0312
BibRef

de Grandi, G., Lee, J.S.[Jong-Sen], Schuler, D., Nezry, E.,
Texture and speckle statistics in polarimetric SAR synthesized images,
GeoRS(41), No. 9, September 2003, pp. 2070-2088.
IEEE Abstract. 0310
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Medeiros, F.N.S., Mascarenhas, N.D.A., Marques, R.C.P., Laprano, C.M.,
Edge preserving wavelet speckle filtering,
Southwest02(281-285).
IEEE Top Reference. 0208
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Pizurica, A., Philips, W., Lemahieu, I., Acheroy, M.,
Despeckling SAR Images Using Wavelets and a New Class of Adaptive Shrinkage Estimators,
ICIP01(II: 233-236).
IEEE DOI 0108

See also Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures. BibRef

Duskunovic, I., Stippel, G., Pizurica, A., Philips, W., Lemahieu, I.,
A New Restoration Method and Its Application to Speckle Images,
ICIP00(Vol III: 273-276).
IEEE DOI 0008
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Dias, J.M.B., Silva, T.A.M., Leitao, J.M.N.,
Adaptive restoration of speckled SAR images using a compound random Markov field,
ICIP98(II: 79-83).
IEEE DOI 9810
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Schulz, T.J.,
A Fast Algorithm for Maximum-Likelihood Imaging with Coherent Speckle Measurements,
ICIP97(I: 679-682).
IEEE DOI BibRef 9700

Schulz, T.J.,
Coherent array imaging with sparse arrays,
ICIP95(I: 133-135).
IEEE DOI 9510
BibRef
Earlier:
Phase-error correction for coherent array imaging systems,
ICIP94(III: 314-318).
IEEE DOI 9411
BibRef

Moloney, C.R.,
Smoothing of SAR Image Speckle Noise by Multiplicative Point Estimation Filters,
ICIP96(III: 907-910).
IEEE DOI BibRef 9600

Ganugapati, S.S., Moloney, C.R.,
A ratio edge detector for speckled images based on maximum strength edge pruning,
ICIP95(II: 165-168).
IEEE DOI 9510
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Aggarwal, M., Desai, U.B.,
Modelling and restoration of multilook correlated speckled images,
ICIP95(I: 498-501).
IEEE DOI 9510
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Böröczky, L., Fioravanti, R., Fioravanti, S., Giusto, D.D.,
Speckle noise filtering in SAR images using wavelets,
CIAP95(670-676).
Springer DOI 9509
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Wei, D., Odegard, J.E., Guo, H., Lang, M., Burrus, C.S.,
Simultaneous noise reduction and SAR image data compression using best wavelet packet basis,
ICIP95(III: 200-203).
IEEE DOI 9510
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Guo, H., Odegard, J.E., Lang, M., Gopinath, R.A., Selesnick, I.W., Burrus, C.S.,
Wavelet based speckle reduction with application to SAR based ATD/R,
ICIP94(I: 75-79).
IEEE DOI 9411
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Mitchell, O.R., Delp, E.J., Wallace, T.P., and Cadwallender, W.K.,
Computer Analysis of Speckle Shearing Images,
ICPR80(361-363). BibRef 8000

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Radar, SAR, Autofocus, Focus .


Last update:Mar 16, 2024 at 20:36:19