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Bayes methods
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Earlier: A1, A3, A2:
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1402
decorrelation
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0308
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0608
BibRef
Lee, J.S.[Jong-Sen],
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0310
BibRef
López Martínez, C.[Carlos],
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0310
See also Modeling and reduction of SAR Interferometric phase noise in the wavelet domain.
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López Martínez, C.[Carlos],
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WWW Link.
0603
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0310
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Wang, B.[Bin],
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0310
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0402
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Solbo, S.,
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0407
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WWW Link.
0501
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Ouchi, K.,
Wang, H.,
Interlook Cross-Correlation Function of Speckle in SAR Images of Sea
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IEEE Abstract.
0501
BibRef
Gnanadurai, D.,
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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
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GVIP(05), No. V6, 2005, pp. 1-8
HTML Version.
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0500
Donelli, M.,
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Massa, A.,
An Integrated Multiscaling Strategy Based on a Particle Swarm Algorithm
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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
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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
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IP(15), No. 9, August 2006, pp. 2694-2701.
IEEE DOI
0608
BibRef
Lankoande, O.[Ousseini],
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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],
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JOSA-A(33), No. 9, September 2016, pp. 1668-1678.
DOI Link
1609
Digital image processing, Image analysis
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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
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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
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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
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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
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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
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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
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GeoRS(49), No. 5, May 2011, pp. 1755-1771.
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1105
BibRef
Lee, J.S.[Jong-Sen],
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Polarization Orientation Angle and Polarimetric SAR Scattering
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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],
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Elsevier DOI
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SAR image, Speckle noise, Reduction noise, Coherence, Target detection
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Denis, L.,
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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.,
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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
BibRef
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],
Zhang, P.P.[Ping-Ping],
Qin, H.X.[Hong-Xing],
Huang, X.L.[Xiao-Lin],
Yang, J.[Jie],
Ng, M.[Michael],
Fast Global Image Smoothing via Quasi Weighted Least Squares,
IJCV(132), No. 12, December 2024, pp. 6039-6068.
Springer DOI
2501
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
BibRef
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
BibRef
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
BibRef
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
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
BibRef
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.[Loïc],
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
BibRef
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.
DOI Link
2202
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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.X.[Zhi-Xu],
Xuan, J.Y.[Jia-Yu],
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
BibRef
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.
DOI Link
2208
BibRef
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
BibRef
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
BibRef
Guo, F.C.[Feng-Cheng],
Tang, H.R.[Hao-Ran],
Liu, W.S.[Wen-Song],
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Inclination Angle,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
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Fang, J.[Jing],
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DOI Link
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DOI Link
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Tang, F.[Fanyi],
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Xing, C.[Chao],
Guo, H.C.[Huan-Cheng],
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DOI Link
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Chen, Y.Q.[Yu-Qing],
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TranSpeckle: An edge-protected transformer for medical ultrasound
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IET-IPR(17), No. 14, 2023, pp. 4014-4027.
DOI Link
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image denoising, image processing, image restoration
BibRef
Dalsasso, E.[Emanuele],
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Speckle Noise Reduction via Linewidth Broadening for Planetary Laser
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RS(16), No. 9, 2024, pp. 1515.
DOI Link
2405
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PandRS(213), 2024, pp. 1-13.
Elsevier DOI
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Speckled data, regression model, Influence measure, Conditional intensity
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DOI Link
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DOI Link
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DOI Link
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Elsevier DOI Code:
WWW Link.
2412
Real SAR despeckling, Self-supervised learning, Contrastive learning,
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Farhadiani, R.,
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Impact of Polarimetric SAR Speckle Reduction On Classification Of
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SMPR19(379-385).
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1912
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Liu, H.,
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RFI Suppression Based on Atomic Norm Minimization in SAR Signal
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ICIP19(2040-2044)
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ICPR16(3198-3203)
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Wang, V.[Victor],
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IEEE DOI
1902
BibRef
Earlier:
Modelling of feature matching performance on correlated speckle
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ICVNZ16(1-6)
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1701
feature extraction, Gaussian processes, image matching,
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Coherence
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Yu, J.,
Speckle noise reduction via phase-aware clustering-based non-local
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ICIP16(1978-1982)
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Kupidura, P.,
Comparison Of Filters Dedicated To Speckle Suppression In Sar Images,
ISPRS16(B7: 269-276).
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1610
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Gleich, D.,
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Despeckling of interferometrie SAR data,
WSSIP16(1-4)
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estimation theory
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Gleich, D.,
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SAR patch categorization using dual tree orientec wavelet transform
and stacked autoencoder,
WSSIP17(1-4)
IEEE DOI
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Discrete wavelet transforms, Feature extraction,
Synthetic aperture radar, Synthetic Aperture Radar,
neural network, oriented dual tree wavelet transform, stacked, autoencoder
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Rahimi, M.,
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A new hybrid algorithm for speckle noise reduction of SAR images
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IPRIA15(1-6)
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Preetha, C.,
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Compressive Sensing framework for simultaneous compression and
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ICAPR15(1-6)
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Szczepanski, M.[Marek],
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1408
adaptive filters
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1408
Bayes methods
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1309
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Bayesian TV denoising of SAR images,
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Speckle Denoising through Local Rényi Entropy Smoothing,
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1109
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Jin, H.Y.[Hai-Yan],
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SAR Image Speckle Noise Suppression Based on DFB Hidden Markov Models
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Earlier: A3, A2, Only:
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Radar, SAR, Autofocus, Focus .