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Q. Zhang, Y. Zheng, Q. Yuan, M. Song, H. Yu, and Y. Xiao, “Hyperspectral image denoising: From model-driven,data-driven, to model-data-driven,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), pp. 1-21, 2024.(SCI一区Top, ESI高被引论文)
Q.
Zhang, Y.
Dong, Y. Zheng, H. Yu, M. Song, L. Zhang, and Q. Yuan, “Three-dimension spatial-spectral
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L. Li,Q.
Zhang*, M.
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vol.62, pp. 1-19, 2024. (SCI一区Top)
C. Yu,
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C. Yu,
H. Li, Y. Hu, Q.
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Remote Sensing Letters (GRSL), vol.
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61, pp. 1-14, 2023. (SCI一区Top)
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Zhang, J. Zhu, Y. Huang,
Q. Yuan, and L. Zhang, “Beyond being wise after the event: Combining spatial, temporal and
spectral information for Himawari-8 early-stage wildfire
detection,” International Journal of Applied Earth Observation and
Geoinformation (JAG), vol. 124, 103506, 2023.(SCI一区Top)
Q.
Zhang, Y. Dong, Q. Yuan,
M. Song, and H. Yu, “Combined deep priors with low-rank tensor factorization for hyperspectral
image restoration,” IEEE Geoscience and Remote Sensing Letters
(GRSL), vol. 20, pp. 1-5, 2023. (SCI一区)
Q.
Zhang, Q. Yuan, M. Song,
H. Yu, and L. Zhang, “Cooperated spectral low-rankness prior and deep spatial prior for HSI
unsupervised denoising,” IEEE Transactions on Image Processing
(TIP), vol. 31, pp. 6356-6368, 2022. (CCF-A, SCI一区Top)
Q.
Zhang, Q. Yuan, T. Jin,
M. Song, and F. Sun, “SGD-SM 2.0: an improved seamless global daily soil moisture long-term
dataset from 2002 to 2022,” Earth System Science Data (ESSD),
vol. 14, pp. 4473–4488, 2022. (SCI一区Top)
Q.
Zhang, Q. Yuan, J. Li,
Y. Wang, F. Sun, and L. Zhang, “Generating seamless global daily AMSR2 soil moisture (SGD-SM)
long-term products for the years 2013-2019,” Earth System Science Data
(ESSD), vol. 13, pp. 1385-1401, 2021.(SCI一区Top)
Q.
Zhang, Q. Yuan, Z. Li,
F. Sun, and L. Zhang, “Combined deep prior with low-rank tensor SVD for thick cloud removal in
multitemporal images,” ISPRS Journal of Photogrammetry and Remote Sensing
(ISPRS P&RS), vol. 177, pp. 161-173, 2021.(SCI一区Top)
Q.
Zhang, Q. Yuan, J. Li,
F. Sun, and L. Zhang, “Deep spatio-spectral Bayesian posterior for hyperspectral image
non-i.i.d. noise removal,” ISPRS Journal of Photogrammetry and Remote Sensing
(ISPRS P&RS), vol. 164, pp. 125-137, 2020.(SCI一区Top)
Q.
Zhang, Q. Yuan, J. Li,
Z. Li, H. Shen, and L. Zhang, “Thick cloud and cloud shadow removal in multitemporal images
using progressively spatio-temporal patch group deep learning,” ISPRS Journal
of Photogrammetry and Remote Sensing (ISPRS P&RS), vol. 162, pp.
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Q.
Zhang, Q. Yuan, J. Li,
X. Liu, H. Shen, and L. Zhang, “Hybrid noise removal in hyperspectral imagery with
spatial-spectral gradient network,” IEEE Transactions on Geoscience and Remote
Sensing (TGRS), vol. 57, no. 10, pp. 7317-7329, 2019.(SCI一区Top)
Q.
Zhang, Q. Yuan, C. Zeng,
X. Li, and Y. Wei, “Missing data reconstruction in remote sensing image with a unified
spatial-temporal-spectral deep convolutional neural network,” IEEE Transactions
on Geoscience and Remote Sensing (TGRS), vol. 56, no. 8, pp. 4274-4288,
2018. (SCI一区Top, ESI高被引论文)
Q.
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2018. (SCI一区)
Q.
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L. Li, M.
Song, Q. Zhang, Y. Dong, Y. Wang, and Q. Yuan, “Local extremum constrained
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Y. Xiao, Q. Yuan,
K. Jiang, Y. Chen, Q. Zhang, and CW. Lin, “Frequency-assisted mamba for remote
sensing image super-resolution,” IEEE Transactions on Multimedia (IEEE
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C. Yu, Y. Zhu, M.
Song, Y. Wang, and Q. Zhang, “Unseen feature extraction: Spatial mapping
expansion with spectral compression network for hyperspectral image
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(TGRS), vol. 62, pp. 1-14, 2024. (SCI一区Top)
W. Zhang, Z. li, G.
Li, P. Zhuang, G. Hou, Q. Zhang, and C. Li, “GACNet: Generate
adversarial-driven cross-aware network for hyperspectral wheat variety
identification,” IEEE Transactions on Geoscience and Remote Sensing
(TGRS), vol. 62, pp. 1-15, 2024. (SCI一区Top, ESI热点论文, ESI高被引论文)
E. Zhao, N. Qu, Y.
Wang, C. Gao, S. Duan, J. Zeng, and Q. Zhang, “Thermal infrared
hyperspectral band selection via graph neural network for land surface temperature
retrieval,” IEEE Transactions on Geoscience and Remote Sensing
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Y. Xiao, Q.
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H. Yang, H. Yu, K.
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Y. Xiao, Q. Yuan,
J. He, Q. Zhang, J. Sun, X. Su, J. Wu and L. Zhang, “Space-time
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transformer,” International Journal of Applied Earth Observation and
Geoinformation (JAG), vol. 108, 102731, 2022.(SCI一区Top, ESI高被引论文)
W. Zhang, Z. Li, H.
Sun, Q. Zhang, P. Zhuang, and C. Li, “SSTNet: Spatial, spectral, and
texture aware attention network using hyperspectral image for corn variety
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J. Lin, T. Huang,
X. Zhao, Y. Chen, Q. Zhang, and Q. Yuan, “Robust thick cloud removal for
multi-temporal remote sensing images using coupled tensor factorization,” IEEE
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