-
1
-
-
0001539879
-
Some fundamental properties of speckle
-
Nov.
-
J. W. Goodman, "Some fundamental properties of speckle, " J. Opt. Soc. Amer., vol. 66, no. 11, pp. 1145-1150, Nov. 1976.
-
(1976)
J. Opt. Soc. Amer.
, vol.66
, Issue.11
, pp. 1145-1150
-
-
Goodman, J.W.1
-
4
-
-
0003420629
-
-
Norwell, MA, USA: Kluwer
-
P. Thompson, D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and C. V. Jakowatz, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Norwell, MA, USA: Kluwer, 1996.
-
(1996)
Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach
-
-
Thompson, P.1
Wahl, D.E.2
Eichel, P.H.3
Ghiglia, D.C.4
Jakowatz, C.V.5
-
5
-
-
0019728171
-
Speckle analysis and smoothing of synthetic aperture radar images
-
J.-S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images, " Comput. Graph. Image Process., vol. 17, no. 1, pp. 24-32, 1981.
-
(1981)
Comput. Graph. Image Process.
, vol.17
, Issue.1
, pp. 24-32
-
-
Lee, J.-S.1
-
6
-
-
0019925686
-
A model for radar images and its application to adaptive digital filtering of multiplicative noise
-
Mar.
-
V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise, " IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-4, no. 2, pp. 157-166, Mar. 1982.
-
(1982)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.PAMI-4
, Issue.2
, pp. 157-166
-
-
Frost, V.S.1
Stiles, J.A.2
Shanmugan, K.S.3
Holtzman, J.C.4
-
7
-
-
0029369367
-
A refined gamma MAP SAR speckle filter with improved geometrical adaptivity
-
Sep.
-
A. Baraldi and F. Parmiggiani, "A refined gamma MAP SAR speckle filter with improved geometrical adaptivity, " IEEE Trans. Geosci. Remote Sens., vol. 33, no. 5, pp. 1245-1257, Sep. 1995.
-
(1995)
IEEE Trans. Geosci. Remote Sens.
, vol.33
, Issue.5
, pp. 1245-1257
-
-
Baraldi, A.1
Parmiggiani, F.2
-
8
-
-
0036821339
-
SAR speckle reduction usingwavelet denoising and Markov random field modeling
-
Oct.
-
H. Xie, L. E. Pierce, and F. T. Ulaby, "SAR speckle reduction usingwavelet denoising and Markov random field modeling, " IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2196-2212, Oct. 2002.
-
(2002)
IEEE Trans. Geosci. Remote Sens.
, vol.40
, Issue.10
, pp. 2196-2212
-
-
Xie, H.1
Pierce, L.E.2
Ulaby, F.T.3
-
9
-
-
0036875230
-
Speckle removal from SAR images in the undecimatedwavelet domain
-
Nov.
-
F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimatedwavelet domain, " IEEE Trans. Geosci. Remote Sens., vol. 40, no. 11, pp. 2363-2374, Nov. 2002.
-
(2002)
IEEE Trans. Geosci. Remote Sens.
, vol.40
, Issue.11
, pp. 2363-2374
-
-
Argenti, F.1
Alparone, L.2
-
10
-
-
0141787887
-
SAR image denoising via Bayesianwavelet shrinkage based on heavy-tailed modeling
-
Aug.
-
A. Achim, P. Tsakalides, and A. Bezerianos, "SAR image denoising via Bayesianwavelet shrinkage based on heavy-tailed modeling, " IEEE Trans. Geosci. Remote Sens., vol. 41, no. 8, pp. 1773-1784, Aug. 2003.
-
(2003)
IEEE Trans. Geosci. Remote Sens.
, vol.41
, Issue.8
, pp. 1773-1784
-
-
Achim, A.1
Tsakalides, P.2
Bezerianos, A.3
-
11
-
-
84890984549
-
Separated component-based restoration of speckled SAR images
-
Feb.
-
V. M. Patel, G. R. Easley, R. Chellappa, and N. M. Nasrabadi, "Separated component-based restoration of speckled SAR images, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 1019-1029, Feb. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.2
, pp. 1019-1029
-
-
Patel, V.M.1
Easley, G.R.2
Chellappa, R.3
Nasrabadi, N.M.4
-
12
-
-
33645655614
-
Image denoising with block-matching and 3D filtering
-
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising with block-matching and 3D filtering, " Proc. SPIE, vol. 6064, 2006, Art. no. 606414.
-
(2006)
Proc. SPIE
, vol.6064
-
-
Dabov, K.1
Foi, A.2
Katkovnik, V.3
Egiazarian, K.4
-
13
-
-
77953690109
-
Multiplicative noise removal using variable splitting and constrained optimization
-
Jul.
-
J. M. Bioucas-Dias andM. A. T. Figueiredo, "Multiplicative noise removal using variable splitting and constrained optimization, " IEEE Trans. Image Process., vol. 19, no. 7, pp. 1720-1730, Jul. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.7
, pp. 1720-1730
-
-
Bioucas-Dias, J.M.1
Figueiredo, M.A.T.2
-
14
-
-
84907752385
-
A tutorial on speckle reduction in synthetic aperture radar images
-
Sep.
-
F. Argenti, A. Lapini, T. Bianchi, and L. Alparone, "A tutorial on speckle reduction in synthetic aperture radar images, " IEEE Geosci. Remote Sens. Mag., vol. 1, no. 3, pp. 6-35, Sep. 2013.
-
(2013)
IEEE Geosci. Remote Sens. Mag.
, vol.1
, Issue.3
, pp. 6-35
-
-
Argenti, F.1
Lapini, A.2
Bianchi, T.3
Alparone, L.4
-
15
-
-
85021724055
-
Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising
-
Jul.
-
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang, "Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising, " IEEE Trans. Image Process., vol. 26, no. 7, pp. 3142-3155, Jul. 2017.
-
(2017)
IEEE Trans. Image Process.
, vol.26
, Issue.7
, pp. 3142-3155
-
-
Zhang, K.1
Zuo, W.2
Chen, Y.3
Meng, D.4
Zhang, L.5
-
16
-
-
85018895520
-
Clearing the skies: A deep network architecture for single-image rain removal
-
Jun.
-
X. Fu, J. Huang, X. Ding, Y. Liao, and J. Paisley, "Clearing the skies: A deep network architecture for single-image rain removal, " IEEE Trans. Image Process., vol. 26, no. 6, pp. 2944-2956, Jun. 2017.
-
(2017)
IEEE Trans. Image Process.
, vol.26
, Issue.6
, pp. 2944-2956
-
-
Fu, X.1
Huang, J.2
Ding, X.3
Liao, Y.4
Paisley, J.5
-
17
-
-
84906484697
-
Learning a deep convolutional network for image super-resolution
-
Springer
-
C. Dong, C. C. Loy, K. He, and X. Tang, "Learning a deep convolutional network for image super-resolution, " in Proc. Eur. Conf. Comput. Vis. Springer, 2014, pp. 184-199.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
18
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy, "Batch normalization: Accelerating deep network training by reducing internal covariate shift, " in Proc. 32nd Int. Conf. Machine Learn. (ICML-15), 2015, pp. 448-456.
-
(2015)
Proc. 32nd Int. Conf. Machine Learn. (ICML-15)
, pp. 448-456
-
-
Ioffe, S.1
Szegedy, C.2
-
19
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks, " in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 1097-1105.
-
(2012)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
20
-
-
85041837841
-
-
G. Chierchia, D. Cozzolino, G. Poggi, and L. Verdoliva, "SAR image despeckling through convolutional neural networks, " arXiv:1704. 00275, 2017.
-
(2017)
SAR Image Despeckling Through Convolutional Neural Networks
-
-
Chierchia, G.1
Cozzolino, D.2
Poggi, G.3
Verdoliva, L.4
-
21
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2015, pp. 3431-3440.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
22
-
-
84986325538
-
Image style transfer using convolutional neural networks
-
L. A. Gatys, A. S. Ecker, and M. Bethge, "Image style transfer using convolutional neural networks, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2016, pp. 2414-2423.
-
(2016)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 2414-2423
-
-
Gatys, L.A.1
Ecker, A.S.2
Bethge, M.3
-
23
-
-
0022029165
-
Adaptive noise smoothing filter for images with signal-dependent noise
-
Mar.
-
D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise, " IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-7, no. 2, pp. 165-177, Mar. 1985.
-
(1985)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.PAMI-7
, Issue.2
, pp. 165-177
-
-
Kuan, D.T.1
Sawchuk, A.A.2
Strand, T.C.3
Chavel, P.4
-
24
-
-
77649236151
-
Iterative weighted maximum likelihood denoising with probabilistic patch-based weights
-
Dec.
-
C.-A. Deledalle, L. Denis, and F. Tupin, "Iterative weighted maximum likelihood denoising with probabilistic patch-based weights, " IEEE Trans. Image Process., vol. 18, no. 12, pp. 2661-2672, Dec. 2009.
-
(2009)
IEEE Trans. Image Process.
, vol.18
, Issue.12
, pp. 2661-2672
-
-
Deledalle, C.-A.1
Denis, L.2
Tupin, F.3
-
25
-
-
84856341300
-
A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage
-
Feb.
-
S. Parrilli, M. Poderico, C. V. Angelino, and L. Verdoliva, "A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 606-616, Feb. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.2
, pp. 606-616
-
-
Parrilli, S.1
Poderico, M.2
Angelino, C.V.3
Verdoliva, L.4
-
26
-
-
85030759098
-
Image-to-image translation with conditional adversarial networks
-
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, "Image-to-image translation with conditional adversarial networks, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2017, pp. 1125-1134.
-
(2017)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1125-1134
-
-
Isola, P.1
Zhu, J.-Y.2
Zhou, T.3
Efros, A.A.4
-
28
-
-
1942436689
-
Image quality assessment: From error visibility to structural similarity
-
Apr.
-
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity, " IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.4
, pp. 600-612
-
-
Wang, Z.1
Bovik, A.C.2
Sheikh, H.R.3
Simoncelli, E.P.4
-
29
-
-
0036493909
-
A universal image quality index
-
Mar.
-
Z. Wang and A. C. Bovik, "A universal image quality index, " IEEE Signal Process. Letters, vol. 9, no. 3, pp. 81-84, Mar. 2002.
-
(2002)
IEEE Signal Process. Letters
, vol.9
, Issue.3
, pp. 81-84
-
-
Wang, Z.1
Bovik, A.C.2
-
30
-
-
84877615358
-
Benchmarking framework for SAR despeckling
-
Mar.
-
G. Di Martino, M. Poderico, G. Poggi, D. Riccio, and L. Verdoliva, "Benchmarking framework for SAR despeckling, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1596-1615, Mar. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.3
, pp. 1596-1615
-
-
Di Martino, G.1
Poderico, M.2
Poggi, G.3
Riccio, D.4
Verdoliva, L.5
-
32
-
-
0019728171
-
Speckle analysis and smoothing of synthetic aperture radar images
-
Sep.
-
J.-S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images, " Comput. Graph. Image Process., vol. 17, no. 1, pp. 24-32, Sep. 1981.
-
(1981)
Comput. Graph. Image Process.
, vol.17
, Issue.1
, pp. 24-32
-
-
Lee, J.-S.1
-
33
-
-
85029426358
-
Unassisted quantitative evaluation of despeckling filters
-
L. Gomez, R. Ospina, and A. C. Frery, "Unassisted quantitative evaluation of despeckling filters, " Remote Sens., vol. 9, no. 4, 2017, Art. no. 389.
-
(2017)
Remote Sens.
, vol.9
, Issue.4
-
-
Gomez, L.1
Ospina, R.2
Frery, A.C.3
-
34
-
-
84888340666
-
Torch7: AMATLAB-like environment for machine learning
-
R. Collobert, K. Kavukcuoglu, and C. Farabet, "Torch7: AMATLAB-like environment for machine learning, " in Proc. BigLearn, NIPS Workshop, 2011.
-
(2011)
Proc. BigLearn, NIPS Workshop
-
-
Collobert, R.1
Kavukcuoglu, K.2
Farabet, C.3
|