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Huifang Li
Huifang Li
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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
4462015
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
2782019
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
Z Li, H Shen, H Li, G Xia, P Gamba, L Zhang
Remote sensing of environment 191, 342-358, 2017
2542017
An effective thin cloud removal procedure for visible remote sensing images
H Shen, H Li, Y Qian, L Zhang, Q Yuan
ISPRS Journal of Photogrammetry and Remote Sensing 96, 224-235, 2014
1752014
A combined loss-based multiscale fully convolutional network for high-resolution remote sensing image change detection
X Li, M He, H Li, H Shen
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
1132021
Patch matching-based multitemporal group sparse representation for the missing information reconstruction of remote-sensing images
X Li, H Shen, H Li, L Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
862016
Sparse-based reconstruction of missing information in remote sensing images from spectral/temporal complementary information
X Li, H Shen, L Zhang, H Li
ISPRS journal of photogrammetry and remote sensing 106, 1-15, 2015
812015
Single image haze removal considering sensor blur and noise
X Lan, L Zhang, H Shen, Q Yuan, H Li
EURASIP journal on advances in signal processing 2013, 1-13, 2013
782013
Quantifying 3D building form effects on urban land surface temperature and modeling seasonal correlation patterns
H Li, Y Li, T Wang, Z Wang, M Gao, H Shen
Building and Environment 204, 108132, 2021
692021
An adaptive nonlocal regularized shadow removal method for aerial remote sensing images
H Li, L Zhang, H Shen
IEEE Transactions on Geoscience and Remote Sensing 52 (1), 106-120, 2013
662013
Pansharpening for cloud-contaminated very high-resolution remote sensing images
X Meng, H Shen, Q Yuan, H Li, L Zhang, W Sun
IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2840-2854, 2018
612018
A perceptually inspired variational method for the uneven intensity correction of remote sensing images
H Li, L Zhang, H Shen
IEEE transactions on geoscience and remote sensing 50 (8), 3053-3065, 2012
592012
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset
S Luo, H Li, H Shen
ISPRS Journal of Photogrammetry and Remote Sensing 167, 443-457, 2020
532020
A general variational framework considering cast shadows for the topographic correction of remote sensing imagery
H Li, L Xu, H Shen, L Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 117, 161-171, 2016
442016
A variational gradient-based fusion method for visible and SWIR imagery
H Li, L Zhang, H Shen, P Li
Photogrammetric Engineering & Remote Sensing 78 (9), 947-958, 2012
362012
Shadow removal based on separated illumination correction for urban aerial remote sensing images
S Luo, H Shen, H Li, Y Chen
Signal Processing 165, 197-208, 2019
322019
A spatial–spectral adaptive haze removal method for visible remote sensing images
H Shen, C Zhang, H Li, Q Yuan, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6168-6180, 2020
252020
Evaluation of multiple downscaled microwave soil moisture products over the central Tibetan Plateau
H Jiang, H Shen, H Li, F Lei, W Gan, L Zhang
Remote Sensing 9 (5), 402, 2017
232017
A unified framework for spatio-temporal-spectral fusion of remote sensing images
HL Xiangchao Meng, Huanfeng Shen, Liangpei Zhang, Qiangqiang Yuan
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International …, 2015
23*2015
ESPFNet: An edge-aware spatial pyramid fusion network for salient shadow detection in aerial remote sensing images
S Luo, H Li, R Zhu, Y Gong, H Shen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
212021
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