18.4.3.1 Super Resolution for Hyperspectral Data

Chapter Contents (Back)
Super Resolution. Hyperspectral.

Simoes, M.[Miguel], Bioucas-Dias, J.[Jose], Almeida, L.B.[Luis B.], Chanussot, J.[Jocelyn],
A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization,
GeoRS(53), No. 6, June 2015, pp. 3373-3388.
IEEE DOI 1503
BibRef
Earlier:
Hyperspectral image superresolution: An edge-preserving convex formulation,
ICIP14(4166-4170)
IEEE DOI 1502
geophysical image processing. Data integration BibRef

Xu, Y.[Yang], Wu, Z.B.[Ze-Bin], Chanussot, J.[Jocelyn], Wei, Z.H.[Zhi-Hui],
Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution,
IP(28), No. 6, June 2019, pp. 3034-3047.
IEEE DOI 1905
geophysical image processing, hyperspectral imaging, image coding, image denoising, image reconstruction, nonlocal patch tensor BibRef

Ren, X.X.[Xiao-Xu], Lu, L.F.[Liang-Fu], Chanussot, J.[Jocelyn],
Toward Super-Resolution Image Construction Based on Joint Tensor Decomposition,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Dong, W., Fu, F., Shi, G., Cao, X., Wu, J., Li, G., Li, X.,
Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation,
IP(25), No. 5, May 2016, pp. 2337-2352.
IEEE DOI 1604
Dictionaries BibRef

Wang, Y.[Yao], Chen, X.[Xi'ai], Han, Z.[Zhi], He, S.Y.[Shi-Ying],
Hyperspectral Image Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Irmak, H., Akar, G.B., Yuksel, S.E.,
A MAP-Based Approach for Hyperspectral Imagery Super-Resolution,
IP(27), No. 6, June 2018, pp. 2942-2951.
IEEE DOI 1804
Bayes methods, Dictionaries, Hyperspectral imaging, Image reconstruction, Minimization, Spatial resolution, super-resolution reconstruction BibRef

Han, X.H.[Xian-Hua], Shi, B.X.[Bo-Xin], Zheng, Y.Q.[Yin-Qiang],
Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution,
IP(27), No. 11, November 2018, pp. 5625-5637.
IEEE DOI 1809
BibRef
And:
SSF-CNN: Spatial and Spectral Fusion with CNN for Hyperspectral Image Super-Resolution,
ICIP18(2506-2510)
IEEE DOI 1809
hyperspectral imaging, image coding, image fusion, image reconstruction, image representation, image resolution, non-negative sparse coding. Spatial resolution, Databases, Feature extraction, SSF-CNN BibRef

Zhang, L., Wei, W., Bai, C., Gao, Y., Zhang, Y.,
Exploiting Clustering Manifold Structure for Hyperspectral Imagery Super-Resolution,
IP(27), No. 12, December 2018, pp. 5969-5982.
IEEE DOI 1810
hyperspectral imaging, image reconstruction, image resolution, learning (artificial intelligence), optimisation, HSI super-resolution BibRef

Gao, D.S.[Dong-Sheng], Hu, Z.T.[Zhen-Tao], Ye, R.Z.[Ren-Zhen],
Self-Dictionary Regression for Hyperspectral Image Super-Resolution,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

He, Z.[Zhi], Liu, L.[Lin],
Hyperspectral Image Super-Resolution Inspired by Deep Laplacian Pyramid Network,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zou, C.Z.[Chang-Zhong], Xia, Y.S.[You-Shen],
Bayesian dictionary learning for hyperspectral image super resolution in mixed Poisson-Gaussian noise,
SP:IC(60), No. 1, 2018, pp. 29-41.
Elsevier DOI 1712
BibRef
And:
Blind hyperspectral image super resolution via simultaneously sparse and TV constraint,
ICIP17(4048-4052)
IEEE DOI 1803
Estimation error, Hyperspectral imaging, Kernel, Optimization, Spatial resolution, blind super resolution, hyperspectral image, total variation. BibRef

Zou, C.Z.[Chang-Zhong], Huang, X.S.[Xu-Sheng],
Hyperspectral image super-resolution combining with deep learning and spectral unmixing,
SP:IC(84), 2020, pp. 115833.
Elsevier DOI 2004
Hyperspectral image (HSI), Super-resolution, Deep residual convolutional neural network (DRCNN), Total variation (TV) regularity BibRef

Li, J.J.[Jiao-Jiao], Cui, R.X.[Ru-Xing], Li, B.[Bo], Song, R.[Rui], Li, Y.S.[Yun-Song], Du, Q.[Qian],
Hyperspectral Image Super-Resolution with 1D-2D Attentional Convolutional Neural Network,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Mei, S.H.[Shao-Hui], Yuan, X.[Xin], Ji, J.Y.[Jing-Yu], Wan, S.[Shuai], Hou, J., Du, Q.[Qian],
Hyperspectral Image Super-Resolution Via Convolutional Neural Network,
ICIP17(4297-4301)
IEEE DOI 1803
Distortion, Hyperspectral imaging, Image reconstruction, Image restoration, Spatial resolution, Hyperspectral, super-resolution BibRef

Mei, S.H.[Shao-Hui], Yuan, X.[Xin], Ji, J.Y.[Jing-Yu], Zhang, Y.F.[Yi-Fan], Wan, S.[Shuai], Du, Q.[Qian],
Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Mei, S.H.[Shao-Hui], Jiang, R.T.[Rui-Tuo], Li, X.[Xu], Du, Q.[Qian],
Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network,
GeoRS(58), No. 7, July 2020, pp. 4590-4603.
IEEE DOI 2006
Spatial resolution, Image reconstruction, Hyperspectral imaging, Signal resolution, Convolutional neural network (CNN), super-resolution (SR) BibRef

Jiang, R.T.[Rui-Tuo], Li, X.[Xu], Mei, S.H.[Shao-Hui], Li, L.X.[Li-Xin], Yue, S.G.[Shi-Gang], Zhang, L.[Lei],
Learning Spatial and Spectral Features VIA 2D-1D Generative Adversarial Network for Hyperspectral Image Super-Resolution,
ICIP19(2149-2153)
IEEE DOI 1910
Hyperspectral images, super-resolution, generative adversarial network BibRef

Tang, S.Z.[Song-Ze], Xu, Y.[Yang], Huang, L.[Lili], Sun, L.[Le],
Hyperspectral Image Super-Resolution via Adaptive Dictionary Learning and Double L_1 Constraint,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Xie, W.Y.[Wei-Ying], Shi, Y.Z.[Yan-Zi], Li, Y.S.[Yun-Song], Jia, X.P.[Xiu-Ping], Lei, J.[Jie],
High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement,
PR(88), 2019, pp. 139-152.
Elsevier DOI 1901
Hyperspectral image, Quality enhancement, Structure tensor, Deep neural networks, Adaptive weighting, Nonnegative matrix factorization BibRef

Li, X.Y.[Xiao-Yan], Zhang, L.[Lefei], You, J.[Jane],
Domain Transfer Learning for Hyperspectral Image Super-Resolution,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Dhason, H.G.C.A.[Heltin Genitha Cyril Amala], Muthaia, I.[Indhumathi], Sakthivel, S.P.[Shanmuga Priyaa], Shanmugam, S.[Sanjeevi],
Super-resolution mapping of hyperspectral satellite images using hybrid genetic algorithm,
IET-IPR(14), No. 7, 29 May 2020, pp. 1281-1290.
DOI Link 2005
BibRef

Li, J.J.[Jiao-Jiao], Cui, R.X.[Ru-Xing], Li, B.[Bo], Song, R.[Rui], Li, Y.S.[Yun-Song], Dai, Y.C.[Yu-Chao], Du, Q.[Qian],
Hyperspectral Image Super-Resolution by Band Attention Through Adversarial Learning,
GeoRS(58), No. 6, June 2020, pp. 4304-4318.
IEEE DOI 2005
Adversarial learning, band attention, hyperspectral image (HSI) super-resolution (SR) BibRef

Arun, P.V., Buddhiraju, K.M., Porwal, A., Chanussot, J.,
CNN-Based Super-Resolution of Hyperspectral Images,
GeoRS(58), No. 9, September 2020, pp. 6106-6121.
IEEE DOI 2008
Spatial resolution, Hyperspectral imaging, Image reconstruction, Dictionaries, Convolutional codes, super-resolution BibRef

Sun, L.[Le], He, C.X.[Cheng-Xun], Zheng, Y.H.[Yu-Hui], Tang, S.Z.[Song-Ze],
SLRL4D: Joint Restoration of Subspace Low-Rank Learning and Non-Local 4-D Transform Filtering for Hyperspectral Image,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Wu, R.Y.[Rui-Yuan], Ma, W.K.[Wing-Kin], Fu, X.[Xiao], Li, Q.[Qiang],
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation,
GeoRS(58), No. 10, October 2020, pp. 7125-7140.
IEEE DOI 2009
Spatial resolution, Estimation, Sensors, Dictionaries, Hyperspectral imaging, Optimization, Endmember variability (EV), low-rank matrix estimation BibRef

Kanatsoulis, C.I.[Charilaos I.], Fu, X.[Xiao], Sidiropoulos, N.D.[Nicholas D.], Ma, W.K.[Wing-Kin],
Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure,
ICIP18(3318-3322)
IEEE DOI 1809
Tensile stress, Spatial resolution, Hyperspectral imaging, Degradation, Signal resolution, Hyperspectral imaging, matrix factorization BibRef

Hu, J., Jia, X., Li, Y., He, G., Zhao, M.,
Hyperspectral Image Super-Resolution via Intrafusion Network,
GeoRS(58), No. 10, October 2020, pp. 7459-7471.
IEEE DOI 2009
Spatial resolution, Convolution, Image reconstruction, Hyperspectral imaging, Convolutional neural networks, super-resolution (SR) BibRef

Mullah, H.U.[Helal Uddin], Deka, B.[Bhabesh], Prasad, A.V.V.,
Fast multi-spectral image super-resolution via sparse representation,
IET-IPR(14), No. 12, October 2020, pp. 2833-2844.
DOI Link 2010
BibRef


Zhang, L., Nie, J., Wei, W., Zhang, Y., Liao, S., Shao, L.,
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution,
CVPR20(3070-3079)
IEEE DOI 2008
Image resolution, Adaptation models, Kernel, Estimation, Image reconstruction, Unsupervised learning, Hyperspectral imaging BibRef

Han, X., Zheng, Y., Chen, Y.,
Multi-Level and Multi-Scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution,
PBDL19(4330-4339)
IEEE DOI 2004
cameras, convolutional neural nets, hyperspectral imaging, image colour analysis, image fusion, CNN BibRef

Qu, Y., Qi, H., Kwan, C.,
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution,
CVPR18(2511-2520)
IEEE DOI 1812
Spatial resolution, Decoding, Hyperspectral imaging, Distortion, Sensors BibRef

Lahoud, F.[Fayez], Zhou, R.[Ruofan], Süsstrunk, S.[Sabine],
Multi-modal Spectral Image Super-Resolution,
PerceptualRest18(V:35-50).
Springer DOI 1905
BibRef

Han, X.L.[Xiao-Lin], Yu, J.[Jing], Sun, W.D.[Wei-Dong],
Hyperspectral image super-resolution based on non-factorization sparse representation and dictionary learning,
ICIP17(963-966)
IEEE DOI 1803
Dictionaries, Hyperspectral imaging, Signal resolution, Sparse matrices, Spatial resolution, dictionary learning, super-resolution BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution for Light Field Images and Data .


Last update:Oct 19, 2020 at 15:02:28