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Huanfeng Shen
Huanfeng Shen
Professor, School of Resource and Environmental Science, Wuhan University
Verified email at whu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Deep learning in environmental remote sensing: Achievements and challenges
Q Yuan, H Shen, T Li, Z Li, S Li, Y Jiang, H Xu, W Tan, Q Yang, J Wang, ...
Remote sensing of Environment 241, 111716, 2020
12102020
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
8522013
Land-cover classification with high-resolution remote sensing images using transferable deep models
XY Tong, GS Xia, Q Lu, H Shen, S Li, S You, L Zhang
Remote Sensing of Environment 237, 111322, 2020
7862020
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
6222015
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
6102012
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
5752016
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
5402018
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
4972015
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
4692017
Hyperspectral image denoising employing a spatial–spectral deep residual convolutional neural network
Q Yuan, Q Zhang, J Li, H Shen, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 1205-1218, 2018
4462018
A super-resolution reconstruction algorithm for surveillance images
L Zhang, H Zhang, H Shen, P Li
Signal Processing 90 (3), 848-859, 2010
4122010
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
4002017
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
3592007
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
3532016
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
3242013
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
Z Li, H Shen, Q Cheng, Y Liu, S You, Z He
ISPRS Journal of Photogrammetry and Remote Sensing 150, 197-212, 2019
3212019
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
3152016
Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges
X Meng, H Shen, H Li, L Zhang, R Fu
Information Fusion 46, 102-113, 2019
3102019
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
3082008
Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning
X Li, H Shen, L Zhang, H Zhang, Q Yuan, G Yang
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 7086-7098, 2014
2972014
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