Palsson, F.[Frosti],
Sveinsson, J.R.[Johannes R.],
Ulfarsson, M.O.[Magnus O.],
Benediktsson, J.A.,
Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and
Wavelets,
GeoRS(53), No. 5, May 2015, pp. 2652-2663.
IEEE DOI
1502
data reduction
BibRef
Palsson, F.[Frosti],
Sveinsson, J.R.[Johannes R.],
Ulfarsson, M.O.[Magnus O.],
Sentinel-2 Image Fusion Using a Deep Residual Network,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
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BibRef
Zhang, K.,
Wang, M.,
Yang, S.,
Multispectral and Hyperspectral Image Fusion Based on Group Spectral
Embedding and Low-Rank Factorization,
GeoRS(55), No. 3, March 2017, pp. 1363-1371.
IEEE DOI
1703
Correlation
BibRef
Qu, J.H.[Jia-Hui],
Lei, J.[Jie],
Li, Y.S.[Yun-Song],
Dong, W.Q.[Wen-Qian],
Zeng, Z.Y.[Zhi-Yong],
Chen, D.[Dunyu],
Structure Tensor-Based Algorithm for Hyperspectral and Panchromatic
Images Fusion,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Xie, W.Y.[Wei-Ying],
Jiang, T.[Tao],
Li, Y.S.[Yun-Song],
Jia, X.P.[Xiu-Ping],
Lei, J.[Jie],
Structure Tensor and Guided Filtering-Based Algorithm for
Hyperspectral Anomaly Detection,
GeoRS(57), No. 7, July 2019, pp. 4218-4230.
IEEE DOI
1907
Anomaly detection, Hyperspectral imaging, Correlation,
Adaptive weighting, anomaly detection,
structure tensor (ST)
BibRef
Dong, W.Q.[Wen-Qian],
Xiao, S.[Song],
Li, Y.S.[Yun-Song],
Qu, J.H.[Jia-Hui],
Hyperspectral Pansharpening Based on Intrinsic Image Decomposition
and Weighted Least Squares Filter,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Qu, J.H.[Jia-Hui],
Li, Y.S.[Yun-Song],
Dong, W.Q.[Wen-Qian],
Fusion of hyperspectral and panchromatic images using an average
filter and a guided filter,
JVCIR(52), 2018, pp. 151-158.
Elsevier DOI
1804
Hyperspectral (HS) image, Panchromatic (PAN) image,
Guided filter, Average filter, Component substitution (CS)
BibRef
Dong, W.Q.[Wen-Qian],
Xiao, S.[Song],
Qu, J.H.[Jia-Hui],
Fusion of hyperspectral and panchromatic images with guided filter,
SIViP(12), No. 7, October 2018, pp. 1369-1376.
WWW Link.
1809
BibRef
Dong, W.Q.[Wen-Qian],
Xiao, S.[Song],
Li, Y.X.[Yong-Xu],
Hyperspectral pansharpening based on guided filter and Gaussian
filter,
JVCIR(53), 2018, pp. 171-179.
Elsevier DOI
1805
Hyperspectral image, Panchromatic image, Image fusion, Guided filter
BibRef
Luo, X.[Xukun],
Yin, J.[Jihao],
Luo, X.Y.[Xiao-Yan],
Jia, X.P.[Xiu-Ping],
A Novel Adversarial Based Hyperspectral and Multispectral Image
Fusion,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Qu, J.H.[Jia-Hui],
Li, Y.S.[Yun-Song],
Du, Q.[Qian],
Dong, W.Q.[Wen-Qian],
Xi, B.[Bobo],
Hyperspectral Pansharpening Based on Homomorphic Filtering and
Weighted Tensor Matrix,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Li, K.,
Xie, W.,
Du, Q.,
Li, Y.,
DDLPS: Detail-Based Deep Laplacian Pansharpening for Hyperspectral
Imagery,
GeoRS(57), No. 10, October 2019, pp. 8011-8025.
IEEE DOI
1910
geophysical image processing, hyperspectral imaging,
image colour analysis, image filtering, image resolution, Sylvester equation
BibRef
He, G.[Gang],
Zhong, J.P.[Jia-Ping],
Lei, J.[Jie],
Li, Y.S.[Yun-Song],
Xie, W.Y.[Wei-Ying],
Hyperspectral Pansharpening Based on Spectral Constrained Adversarial
Autoencoder,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
See also Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection.
BibRef
Dong, W.Q.[Wen-Qian],
Xiao, S.[Song],
Qu, J.H.[Jia-Hui],
Local model-based hyperspectral pansharpening algorithm via
optimization constraint equation and sliding window,
JOSA-A(36), No. 11, November 2019, pp. 1917-1925.
DOI Link
1912
Image enhancement, Image fusion, Image processing,
Image quality, Spatial filtering, Spatial resolution
BibRef
Xu, Y.,
Wu, Z.,
Chanussot, J.,
Comon, P.,
Wei, Z.,
Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and
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GeoRS(58), No. 1, January 2020, pp. 348-362.
IEEE DOI
2001
Spatial resolution, Hyperspectral imaging, Sparse matrices,
Matrix decomposition, nonlocal tensor
BibRef
Xu, S.,
Amira, O.,
Liu, J.,
Zhang, C.,
Zhang, J.,
Li, G.,
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion
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GeoRS(58), No. 7, July 2020, pp. 4618-4628.
IEEE DOI
2006
Feature extraction, Distortion, Tensors, Neural networks,
Laplace equations, Spatial resolution, Angle loss,
multispectral image (MSI)
BibRef
Wang, X.,
Mu, Z.,
Song, R.,
Tao, J.,
Song, C.,
A Hyperspectral Image NSST-HMF Model and Its Application in
HS-Pansharpening,
GeoRS(58), No. 7, July 2020, pp. 4803-4817.
IEEE DOI
2006
Hidden Markov models, Spatial resolution, Transforms, Correlation,
Predictive models, Remote sensing,
spatial-spectral collaborate correlation
BibRef
Dong, W.,
Liang, J.,
Xiao, S.,
Saliency Analysis and Gaussian Mixture Model-Based Detail Extraction
Algorithm for Hyperspectral Pansharpening,
GeoRS(58), No. 8, August 2020, pp. 5462-5476.
IEEE DOI
2007
Bayes methods, Spatial resolution, Principal component analysis,
Distortion, Remote sensing, Data mining, Detail extraction, saliency analysis
BibRef
Wang, K.D.[Kai-Dong],
Wang, Y.[Yao],
Zhao, X.L.[Xi-Le],
Chan, J.C.W.[Jonathan Cheung-Wai],
Xu, Z.B.[Zong-Ben],
Meng, D.Y.[De-Yu],
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank
Tensor Decomposition and Spectral Unmixing,
GeoRS(58), No. 11, November 2020, pp. 7654-7671.
IEEE DOI
2011
Tensile stress, Image fusion, Sparse matrices, Spatial resolution,
Correlation, Imaging, Machine learning, Hyperspectral (HS) image,
spectral unmixing
BibRef
Kong, X.Y.[Xiang-Yang],
Zhao, Y.Q.[Yong-Qiang],
Chan, J.C.W.[Jonathan Cheung-Wai],
Xue, J.[Jize],
Hyperspectral Image Restoration via Spatial-Spectral Residual Total
Variation Regularized Low-Rank Tensor Decomposition,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Bu, Y.Y.[Yuan-Yang],
Zhao, Y.Q.[Yong-Qiang],
Xue, J.Z.[Ji-Ze],
Chan, J.C.W.[Jonathan Cheung-Wai],
Kong, S.G.[Seong G.],
Yi, C.[Chen],
Wen, J.H.[Jin-Huan],
Wang, B.L.[Bing-Lu],
Hyperspectral and Multispectral Image Fusion via Graph
Laplacian-Guided Coupled Tensor Decomposition,
GeoRS(59), No. 1, January 2021, pp. 648-662.
IEEE DOI
2012
Tensile stress, Matrix decomposition, Sparse matrices,
Laplace equations, Manifolds, Hyperspectral imaging,
manifold structure
BibRef
Xie, Q.[Qi],
Zhou, M.H.[Ming-Hao],
Zhao, Q.[Qian],
Xu, Z.B.[Zong-Ben],
Meng, D.Y.[De-Yu],
MHF-Net: An Interpretable Deep Network for Multispectral and
Hyperspectral Image Fusion,
PAMI(44), No. 3, March 2022, pp. 1457-1473.
IEEE DOI
2202
Training, Hyperspectral imaging, Task analysis,
Network architecture, Testing, Sensors, generalization
BibRef
Zhang, B.[Bihui],
Cao, X.Y.[Xiang-Yong],
Meng, D.Y.[De-Yu],
A Deep Unfolding Network for Multispectral and Hyperspectral Image
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2411
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Xie, Q.[Qi],
Zhou, M.H.[Ming-Hao],
Zhao, Q.[Qian],
Meng, D.Y.[De-Yu],
Zuo, W.M.[Wang-Meng],
Xu, Z.B.[Zong-Ben],
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net,
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IEEE DOI
2002
BibRef
Zheng, Y.X.[Yu-Xuan],
Li, J.J.[Jiao-Jiao],
Li, Y.S.[Yun-Song],
Guo, J.[Jie],
Wu, X.Y.[Xian-Yun],
Chanussot, J.[Jocelyn],
Hyperspectral Pansharpening Using Deep Prior and Dual Attention
Residual Network,
GeoRS(58), No. 11, November 2020, pp. 8059-8076.
IEEE DOI
2011
Spatial resolution, Hyperspectral imaging, Bayes methods,
Deep hyperspectral prior (DHP),
hyperspectral (HS) pansharpening
BibRef
Constans, Y.,
Fabre, S.,
Seymour, M.,
Crombez, V.,
Briottet, X.,
Deville, Y.,
Fusion of Hyperspectral and Panchromatic Data By Spectral Unmixing In
The Reflective Domain,
ISPRS20(B3:567-574).
DOI Link
2012
BibRef
Restaino, R.,
Vivone, G.,
Addesso, P.,
Chanussot, J.,
Hyperspectral Sharpening Approaches Using Satellite Multiplatform
Data,
GeoRS(59), No. 1, January 2021, pp. 578-596.
IEEE DOI
2012
Spatial resolution, Sensors, Satellites, Image sensors,
Hyperspectral sensors, Hyperion data,
remote sensing
BibRef
Xie, W.,
Cui, Y.,
Li, Y.,
Lei, J.,
Du, Q.,
Li, J.,
HPGAN: Hyperspectral Pansharpening Using 3-D Generative Adversarial
Networks,
GeoRS(59), No. 1, January 2021, pp. 463-477.
IEEE DOI
2012
Generators, Generative adversarial networks, Spatial resolution,
Bayes methods, Data models,
3-D high-frequency block
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Long, J.[Jian],
Peng, Y.X.[Yuan-Xi],
Blind Fusion of Hyperspectral Multispectral Images Based on Matrix
Factorization,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Lin, H.[Hong],
Li, J.[Jun],
Peng, Y.X.[Yuan-Xi],
Zhou, T.[Tong],
Long, J.[Jian],
Gui, J.L.[Jia-Lin],
Correlation Matrix-Based Fusion of Hyperspectral and Multispectral
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2307
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Wang, Y.[Yulei],
Zhu, Q.Y.[Qing-Yu],
Shi, Y.[Yao],
Song, M.P.[Mei-Ping],
Yu, C.Y.[Chun-Yan],
A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and
Multispectral Images Fusion,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Constans, Y.[Yohann],
Fabre, S.[Sophie],
Seymour, M.[Michael],
Crombez, V.[Vincent],
Deville, Y.[Yannick],
Briottet, X.[Xavier],
Hyperspectral Pansharpening in the Reflective Domain with a Second
Panchromatic Channel in the SWIR II Spectral Domain,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Zhao, R.[Rui],
Du, S.H.[Shi-Hong],
Spectral-Spatial Residual Network for Fusing Hyperspectral and
Panchromatic Remote Sensing Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Zhao, R.[Rui],
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An Encoder-Decoder with a Residual Network for Fusing
Hyperspectral and Panchromatic Remote Sensing Images,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
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Li, K.[Kun],
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Yu, D.[Dian],
Tian, X.[Xin],
HyperNet: A deep network for hyperspectral, multispectral, and
panchromatic image fusion,
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Elsevier DOI
2205
Image fusion, Deep network, Sharpening, Multi-scale structural similarity index
BibRef
Peng, X.L.[Xian-Lin],
Fu, Y.H.[Yi-Hao],
Peng, S.L.[Sheng-Lin],
Ma, K.[Kai],
Liu, L.[Lu],
Wang, J.[Jun],
SSML: Spectral-Spatial Mutual-Learning-Based Framework for
Hyperspectral Pansharpening,
RS(14), No. 18, 2022, pp. xx-yy.
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2209
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Huang, S.[Sihan],
Messinger, D.[David],
An Unsupervised Cascade Fusion Network for Radiometrically-Accurate
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RS(14), No. 17, 2022, pp. xx-yy.
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2209
BibRef
Qu, J.H.[Jia-Hui],
Dong, W.Q.[Wen-Qian],
Li, Y.S.[Yun-Song],
Hou, S.X.[Shao-Xiong],
Du, Q.[Qian],
An Interpretable Unsupervised Unrolling Network for Hyperspectral
Pansharpening,
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IEEE DOI
2312
BibRef
Alparone, L.[Luciano],
Arienzo, A.[Alberto],
Garzelli, A.[Andrea],
Spatial Resolution Enhancement of Vegetation Indexes via Fusion of
Hyperspectral and Multispectral Satellite Data,
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2403
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Sun, Q.[Qian],
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AIDB-Net: An Attention-Interactive Dual-Branch Convolutional Neural
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DOI Link
2403
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Zini, S.[Simone],
Barbato, M.P.[Mirko Paolo],
Piccoli, F.[Flavio],
Napoletano, P.[Paolo],
Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA
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RS(16), No. 12, 2024, pp. 2079.
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2406
BibRef
Perretta, M.[Miriam],
Delogu, G.[Gabriele],
Funsten, C.[Cassandra],
Patriarca, A.[Alessio],
Caputi, E.[Eros],
Boccia, L.[Lorenzo],
Testing the Impact of Pansharpening Using PRISMA Hyperspectral Data:
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2410
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Lin, H.W.[Hong-Wen],
Zhang, A.Q.[An-Qing],
Fusion of hyperspectral and panchromatic images using improved HySure
method,
ICIVC17(489-493)
IEEE DOI
1708
Correlation, Distortion, Hyperspectral imaging, Indexes,
Spatial resolution, fusion, hyperspectral image,
improved HySure method, pansharpening
BibRef
Tierney, S.,
Gao, J.B.[Jun-Bin],
Guo, Y.[Yi],
Affinity Pansharpening and Image Fusion,
DICTA14(1-8)
IEEE DOI
1502
hyperspectral imaging
BibRef
Rajabi, R.,
Ghassemian, H.,
Fusion of Hyperspectral and Panchromatic Images Using Spectral Unmixing
Results,
SMPR13(333-336).
DOI Link
1311
BibRef
Licciardi, G.A.,
Khan, M.M.,
Chanussot, J.,
Fusion of hyperspectral and panchromatic images: A hybrid use of
indusion and nonlinear PCA,
ICIP12(2133-2136).
IEEE DOI
1302
BibRef
Chisense, C.,
Engels, J.,
Hahn, M.,
Gülch, E.,
Pansharpening Of Hyperspectral Images In Urban Areas,
ISPRS12(XXXIX-B7:387-392).
DOI Link
1209
BibRef
Khan, M.M.[Muhammad Murtaza],
Chanussot, J.[Jocelyn],
Alparone, L.[Luciano],
Pansharpening of Hyperspectral images using spatial distortion
optimization,
ICIP09(2853-2856).
IEEE DOI
0911
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Evaluation, Quality Assissment Pansharpening .