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.S.[Wei-Sheng], Fu, F.Z.[Fa-Zuo], Shi, G.M.[Guang-Ming], Cao, X.[Xun], Wu, J.J.[Jin-Jian], Li, G.Y.[Guang-Yu], Li, X.[Xin],
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

Huang, L.Q.[Li-Qing], Xia, Y.S.[You-Shen],
Fast Blind Image Super Resolution Using Matrix-Variable Optimization,
CirSysVideo(31), No. 3, March 2021, pp. 945-955.
IEEE DOI 2103
Image resolution, Kernel, Image reconstruction, Matrix decomposition, Sparse matrices, Optimization methods, reconstruction quality BibRef

Huang, L.Q.[Li-Qing], Xia, Y.S.[You-Shen], Ye, T.T.[Tian-Tian],
Effective Blind Image Deblurring Using Matrix-Variable Optimization,
IP(30), 2021, pp. 4653-4666.
IEEE DOI 2105
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

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

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

Xu, H.[Hao], Yao, W.[Wei], Cheng, L.[Li], Li, B.[Bo],
Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Li, J.J.[Jiao-Jiao], Wu, C.X.[Chao-Xiong], Song, R.[Rui], Xie, W.Y.[Wei-Ying], Ge, C.R.[Chi-Ru], Li, B.[Bo], Li, Y.S.[Yun-Song],
Hybrid 2-D-3-D Deep Residual Attentional Network With Structure Tensor Constraints for Spectral Super-Resolution of RGB Images,
GeoRS(59), No. 3, March 2021, pp. 2321-2335.
IEEE DOI 2103
Hyperspectral imaging, Image reconstruction, Feature extraction, Spatial resolution, Tensors, Correlation, Attention mechanism, structure tensor 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

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

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

Zhu, Z., Hou, J., Chen, J., Zeng, H., Zhou, J.,
Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning,
IP(30), 2021, pp. 1423-1438.
IEEE DOI 2012
Spatial resolution, Image reconstruction, Tensors, Hyperspectral imaging, Residual neural networks, cross-modality BibRef

Lin, Y.X.[Yu-Xin], Ling, B.W.K.[Bingo Wing-Kuen], Hu, L.[Lingyue], Zheng, Y.[Yiting], Xu, N.[Nuo], Zhou, X.[Xueling], Wang, X.[Xinpeng],
Hyperspectral Image Enhancement by Two Dimensional Quaternion Valued Singular Spectrum Analysis for Object Recognition,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Zheng, K., Gao, L., Liao, W., Hong, D., Zhang, B., Cui, X., Chanussot, J.,
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution,
GeoRS(59), No. 3, March 2021, pp. 2487-2502.
IEEE DOI 2103
Spatial resolution, Hyperspectral imaging, Geoscience, Training, Manganese, Adaptive learning, autoencoder, super-resolution BibRef

Gao, L.R.[Lian-Ru], Hong, D.F.[Dan-Feng], Yao, J.[Jing], Zhang, B.[Bing], Gamba, P.[Paolo], Chanussot, J.[Jocelyn],
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning,
GeoRS(59), No. 3, March 2021, pp. 2269-2280.
IEEE DOI 2103
Dictionaries, Image reconstruction, Task analysis, Spatial resolution, Imaging, Dictionary learning, hyperspectral, superresolution 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:May 10, 2021 at 18:51:10