IEEE Geoscience and Remote Sensing Magazine - March 2023 - 64

[14] Z. Wu, Q. Wang, Z. Wu, and Y. Shen, " Total variation-regularized
weighted nuclear norm minimization for hyperspectral
image mixed denoising, " J. Electron. Imag., vol. 25, no. 1, Feb.
2016, Art. no. 013037, doi: 10.1117/1.JEI.25.1.013037.
[15] Z. Wu, Q. Wang, J. Jin, and Y. Shen, " Structure tensor total
variation-regularized weighted nuclear norm minimization for
hyperspectral image mixed denoising, " Signal Process., vol. 131,
pp. 202-219, Feb. 2017, doi: 10.1016/j.sigpro.2016.07.031.
[16] H. Fan, Y. Chen, Y. Guo, H. Zhang, and G. Kuang, " Hyperspectral
image restoration using low-rank tensor recovery, " IEEE J.
Sel. Topics Appl. Earth Observ. Remote Sens., vol. 10, no. 10, pp.
4589-4604, Oct. 2017, doi: 10.1109/JSTARS.2017.2714338.
[17] H. Fan, C. Li, Y. Guo, G. Kuang, and J. Ma, " Spatial-spectral
total variation regularized low-rank tensor decomposition
for hyperspectral image denoising, " IEEE Trans. Geosci. Remote
Sens., vol. 56, no. 10, pp. 6196-6213, Oct. 2018, doi: 10.1109/
TGRS.2018.2833473.
[18] Y.-B. Zheng, T.-Z. Huang, X.-L. Zhao, T.-X. Jiang, T.-H. Ma,
and T.-Y. Ji, " Mixed noise removal in hyperspectral image via
low-fibered-rank regularization, " IEEE Trans. Geosci. Remote
Sens., vol. 58, no. 1, pp. 734-749, Jan. 2020, doi: 10.1109/
TGRS.2019.2940534.
[19] F. L. Hitchcock, " The expression of a tensor or a polyadic as a
sum of products, " J. Math. Phys., vol. 6, nos. 1-4, pp. 164-189,
1927, doi: 10.1002/sapm192761164.
[20] T. G. Kolda and B. W. Bader, " Tensor decompositions and applications, "
SIAM Rev., vol. 51, no. 3, pp. 455-500, 2009, doi:
10.1137/07070111X.
[21] E. E. Papalexakis, C. Faloutsos, and N. D. Sidiropoulos, " Tensors
for data mining and data fusion: Models, applications, and
scalable algorithms, " ACM Trans. Intell. Syst. Technol., vol. 8, no.
2, pp. 1-44, Mar. 2017, doi: 10.1145/2915921.
[22] N. D. Sidiropoulos, L. De Lathauwer, X. Fu, K. Huang, E. E.
Papalexakis, and C. Faloutsos, " Tensor decomposition for signal
processing and machine learning, " IEEE Trans. Signal Process.,
vol. 65, no. 13, pp. 3551-3582, Jul. 2017, doi: 10.1109/
TSP.2017.2690524.
[23] N. Renard, S. Bourennane, and J. Blanc-Talon, " Denoising and
dimensionality reduction using multilinear tools for hyperspectral
images, " IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2,
pp. 138-142, Apr. 2008, doi: 10.1109/LGRS.2008.915736.
[24] X. Liu, S. Bourennane, and C. Fossati, " Denoising of hyperspectral
images
using the Parafac model and statistical
performance analysis, " IEEE Trans. Geosci. Remote Sens.,
vol. 50, no. 10, pp. 3717-3724, Oct. 2012, doi: 10.1109/
TGRS.2012.2187063.
[25] M. E. Kilmer, K. Braman, N. Hao, and R. C. Hoover, " Thirdorder
tensors as operators on matrices: A theoretical and computational
framework with applications in imaging, " SIAM
J. Matrix Anal. Appl., vol. 34, no. 1, pp. 148-172, 2013, doi:
10.1137/110837711.
[26] I. V. Oseledets, " Tensor-train decomposition, " SIAM J.
Sci. Comput., vol. 33, no. 5, pp. 2295-2317, Jan. 2011, doi:
10.1137/090752286.
[27] Q. Zhao, G. Zhou, S. Xie, L. Zhang, and A. Cichocki, " Tensor
ring decomposition, " 2016, arXiv:1606.05535.
64
[28] X. Guo, X. Huang, L. Zhang, and L. Zhang, " Hyperspectral image
noise reduction based on rank-1 tensor decomposition, "
ISPRS J. Photogrammetry Remote Sens., vol. 83, pp. 50-63, Sep.
2013, doi: 10.1016/j.isprsjprs.2013.06.001.
[29] J. Xue, Y. Zhao, W. Liao, and J. C.-W. Chan, " Nonconvex tensor
rank minimization and its applications to tensor recovery, "
Inf. Sci., vol. 503, pp. 109-128, Nov. 2019, doi: 10.1016/j.
ins.2019.06.061.
[30] X. Bai, F. Xu, L. Zhou, Y. Xing, L. Bai, and J. Zhou, " Nonlocal
similarity based nonnegative tucker decomposition for
hyperspectral image denoising, " IEEE J. Sel. Topics Appl. Earth
Observ. Remote Sens., vol. 11, no. 3, pp. 701-712, Mar. 2018, doi:
10.1109/JSTARS.2018.2791718.
[31] X. Kong, Y. Zhao, J. Xue, and J. C.-W. Chan, " Hyperspectral image
denoising using global weighted tensor norm minimum
and nonlocal low-rank approximation, " Remote Sens., vol. 11,
no. 19, 2019, Art. no. 2281, doi: 10.3390/rs11192281.
[32] W. Dong, G. Li, G. Shi, X. Li, and Y. Ma, " Low-rank tensor approximation
with Laplacian scale mixture modeling for multiframe
image denoising, " in Proc. IEEE Int. Conf. Comput. Vis.,
2015, pp. 442-449, doi: 10.1109/ICCV.2015.58.
[33] Q. Xie et al., " Multispectral images denoising by intrinsic tensor sparsity
regularization, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
(CVPR), 2016, pp. 1692-1700, doi: 10.1109/CVPR.2016.187.
[34] J. Xue, Y. Zhao, W. Liao, and J. C.-W. Chan, " Nonlocal low-rank
regularized tensor decomposition for hyperspectral image
denoising, " IEEE Trans. Geosci. Remote Sens., vol. 57, no. 7, pp.
5174-5189, Jul. 2019, doi: 10.1109/TGRS.2019.2897316.
[35] Y. Chang, L. Yan, and S. Zhong, " Hyper-Laplacian regularized
unidirectional low-rank tensor recovery for multispectral image
denoising, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
(CVPR), 2017, pp. 5901-5909, doi: 10.1109/CVPR.2017.625.
[36] W. He, Q. Yao, C. Li, N. Yokoya, and Q. Zhao, " Non-local meets
global: An integrated paradigm for hyperspectral denoising, "
in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2019,
pp. 6861-6870.
[37] Y. Chang, L. Yan, X.-L. Zhao, H. Fang, Z. Zhang, and S. Zhong,
" Weighted low-rank tensor recovery for hyperspectral image
restoration, " IEEE Trans. Cybern., vol. 50, no. 11, pp. 4558-4572,
Nov. 2020, doi: 10.1109/TCYB.2020.2983102.
[38] Y. Chen, W. He, N. Yokoya, T.-Z. Huang, and X.-L. Zhao,
" Nonlocal tensor-ring decomposition for hyperspectral image
denoising, " IEEE Trans. Geosci. Remote Sens., vol. 58, no. 2, pp.
1348-1362, Feb. 2020, doi: 10.1109/TGRS.2019.2946050.
[39] Y. Chen, S. Wang, and Y. Zhou, " Tensor nuclear norm-based
low-rank approximation with total variation regularization, "
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 12, no. 6,
pp. 1364-1377, Dec. 2018, doi: 10.1109/JSTSP.2018.2873148.
[40] M. Wang, Q. Wang, and J. Chanussot, " L0 gradient regularized
low-rank tensor model for hyperspectral image denoising, "
in Proc. 10th Workshop Hyperspectral Imag. Signal Process., Evol.
Remote Sens. (WHISPERS), 2019, pp. 1-6, doi: 10.1109/WHISPERS.2019.8920965.
[41]
Y. Wang, J. Peng, Q. Zhao, Y. Leung, X. Zhao, and D. Meng,
" Hyperspectral image restoration via total variation regularized
low-rank tensor decomposition, " IEEE J. Sel. Topics Appl.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE MARCH 2023
http://dx.doi.org/10.1016/j.isprsjprs.2013.06.001 http://dx.doi.org/10.1016/j.ins.2019.06.061 http://dx.doi.org/10.1016/j.sigpro.2016.07.031 http://dx.doi.org/10.1016/j.ins.2019.06.061 http://dx.doi.org/10.1109/JSTARS.2017.2714338 http://dx.doi.org/10.1109/JSTARS.2018.2791718 http://dx.doi.org/10.1109/TGRS.2018.2833473 http://dx.doi.org/10.1109/TGRS.2018.2833473 http://dx.doi.org/10.1109/TGRS.2019.2940534 http://dx.doi.org/10.1109/TGRS.2019.2940534 http://dx.doi.org/10.1002/sapm192761164 http://dx.doi.org/10.1137/07070111X http://dx.doi.org/10.1109/TGRS.2019.2897316 http://dx.doi.org/10.1145/2915921 http://dx.doi.org/10.1109/TSP.2017.2690524 http://dx.doi.org/10.1109/TSP.2017.2690524 http://dx.doi.org/10.1109/TCYB.2020.2983102 http://dx.doi.org/10.1109/LGRS.2008.915736 http://dx.doi.org/10.1109/TGRS.2019.2946050 http://dx.doi.org/10.1109/TGRS.2012.2187063 http://dx.doi.org/10.1109/TGRS.2012.2187063 http://dx.doi.org/10.1109/JSTSP.2018.2873148 http://dx.doi.org/10.1137/110837711 http://dx.doi.org/10.1137/090752286

IEEE Geoscience and Remote Sensing Magazine - March 2023

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - March 2023

Contents
IEEE Geoscience and Remote Sensing Magazine - March 2023 - Cover1
IEEE Geoscience and Remote Sensing Magazine - March 2023 - Cover2
IEEE Geoscience and Remote Sensing Magazine - March 2023 - Contents
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 2
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 3
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 4
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 5
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 6
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 7
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 8
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 9
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 10
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 11
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 12
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 13
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 14
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 15
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 16
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 17
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 18
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 19
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 20
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 21
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 22
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 23
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 24
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 25
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 26
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 27
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 28
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 29
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 30
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 31
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 32
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 33
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 34
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 35
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 36
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 37
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 38
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 39
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 40
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 41
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 42
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 43
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 44
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 45
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 46
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 47
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 48
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 49
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 50
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 51
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 52
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 53
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 54
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 55
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 56
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 57
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 58
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 59
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 60
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 61
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 62
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 63
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 64
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 65
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 66
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 67
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 68
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 69
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 70
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 71
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 72
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 73
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 74
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 75
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 76
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 77
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 78
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 79
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 80
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 81
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 82
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 83
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 84
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 85
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 86
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 87
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 88
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 89
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 90
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 91
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 92
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 93
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 94
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 95
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 96
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 97
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 98
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 99
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 100
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 101
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 102
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 103
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 104
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 105
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 106
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 107
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 108
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 109
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 110
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 111
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 112
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 113
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 114
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 115
IEEE Geoscience and Remote Sensing Magazine - March 2023 - 116
IEEE Geoscience and Remote Sensing Magazine - March 2023 - Cover3
IEEE Geoscience and Remote Sensing Magazine - March 2023 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2023
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2023
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2023
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2023
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2022
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2022
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2022
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2022
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2021
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2021
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2021
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2021
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2020
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2020
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2020
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2020
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2019
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2019
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2019
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2019
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2018
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2018
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2018
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2018
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2017
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2017
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2017
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2017
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2016
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2016
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2016
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2016
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2015
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2015
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2015
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2015
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2014
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2014
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2014
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2014
https://www.nxtbook.com/nxtbooks/ieee/geoscience_december2013
https://www.nxtbook.com/nxtbooks/ieee/geoscience_september2013
https://www.nxtbook.com/nxtbooks/ieee/geoscience_june2013
https://www.nxtbook.com/nxtbooks/ieee/geoscience_march2013
https://www.nxtbookmedia.com