Huanfeng Shen
Huanfeng Shen
Professor, School of Resource and Environmental Science, Wuhan University
Adresse e-mail validée de whu.edu.cn - Page d'accueil
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Hyperspectral image restoration using low-rank matrix recovery
H Zhang, W He, L Zhang, H Shen, Q Yuan
IEEE transactions on geoscience and remote sensing 52 (8), 4729-4743, 2013
4192013
Hyperspectral image denoising employing a spectral–spatial adaptive total variation model
Q Yuan, L Zhang, H Shen
IEEE Transactions on Geoscience and Remote Sensing 50 (10), 3660-3677, 2012
3452012
A MAP approach for joint motion estimation, segmentation, and super resolution
H Shen, L Zhang, B Huang, P Li
IEEE Transactions on Image processing 16 (2), 479-490, 2007
3042007
Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration
W He, H Zhang, L Zhang, H Shen
IEEE transactions on geoscience and remote sensing 54 (1), 178-188, 2015
2482015
A total variation regularization based super-resolution reconstruction algorithm for digital video
MK Ng, H Shen, EY Lam, L Zhang
EURASIP Journal on Advances in Signal Processing 2007, 1-16, 2007
2352007
A super-resolution reconstruction algorithm for surveillance images
L Zhang, H Zhang, H Shen, P Li
Signal Processing 90 (3), 848-859, 2010
2272010
Image super-resolution: The techniques, applications, and future
L Yue, H Shen, J Li, Q Yuan, H Zhang, L Zhang
Signal Processing 128, 389-408, 2016
1982016
A MAP-based algorithm for destriping and inpainting of remotely sensed images
H Shen, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 47 (5), 1492-1502, 2008
1912008
Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method
C Zeng, H Shen, L Zhang
Remote Sensing of Environment 131, 182-194, 2013
1732013
Missing information reconstruction of remote sensing data: A technical review
H Shen, X Li, Q Cheng, C Zeng, G Yang, H Li, L Zhang
IEEE Geoscience and Remote Sensing Magazine 3 (3), 61-85, 2015
1522015
Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the …
H Shen, L Huang, L Zhang, P Wu, C Zeng
Remote Sensing of Environment 172, 109-125, 2016
1502016
Multiframe super-resolution employing a spatially weighted total variation model
Q Yuan, L Zhang, H Shen
IEEE Transactions on circuits and systems for video technology 22 (3), 379-392, 2011
1452011
Boosting the accuracy of multispectral image pansharpening by learning a deep residual network
Y Wei, Q Yuan, H Shen, L Zhang
IEEE Geoscience and Remote Sensing Letters 14 (10), 1795-1799, 2017
1392017
A practical compressed sensing-based pan-sharpening method
C Jiang, H Zhang, H Shen, L Zhang
IEEE Geoscience and Remote Sensing Letters 9 (4), 629-633, 2011
1272011
A super-resolution reconstruction algorithm for hyperspectral images
H Zhang, L Zhang, H Shen
Signal Processing 92 (9), 2082-2096, 2012
1202012
Hyperspectral image denoising via noise-adjusted iterative low-rank matrix approximation
W He, H Zhang, L Zhang, H Shen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
1172015
Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature
P Wu, H Shen, L Zhang, FM Göttsche
Remote Sensing of Environment 156, 169-181, 2015
1102015
Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach
T Li, H Shen, Q Yuan, X Zhang, L Zhang
Geophysical Research Letters 44 (23), 11,985-11,993, 2017
1072017
An integrated framework for the spatio–temporal–spectral fusion of remote sensing images
H Shen, X Meng, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7135-7148, 2016
1052016
A multiscale and multidepth convolutional neural network for remote sensing imagery pan-sharpening
Q Yuan, Y Wei, X Meng, H Shen, L Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
1042018
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