Dr.Hongyan Zhang , China University of Geosciences (Wuhan), China.
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Dr.Hongyan Zhang, currently serving as the Dean of the School of Computer Science at China University of Geosciences (Wuhan), holds a Ph.D. in photogrammetry and remote sensing from Wuhan University. His academic journey began with a B.S. degree in geographic information systems, also from Wuhan University. Dr. Zhang spent over a decade as a researcher at the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing at Wuhan University before assuming his current leadership role.
Scopus
Education and Experience 
Dr.Hongyan Zhang obtained his Ph.D. in 2010 and his undergraduate degree in 2005, both from Wuhan University. His professional career has been deeply rooted in advancing the fields of geographic information systems, photogrammetry, and remote sensing. From 2010 onwards, he contributed significantly to national research projects, published extensively, and assumed editorial responsibilities in prominent scientific journals.
Professional Development 
Dr. Zhang’s career highlights include authoring a notable book and patenting innovative solutions in high-dimensional data processing and agricultural remote sensing. His editorial roles at prestigious journals underscore his standing in the scientific community, reflecting his commitment to advancing earth observation technologies and geoinformatics.
Research Focus 
Dr.Hongyan Zhang’s research focuses on high-dimensional data intelligent processing and agricultural remote sensing. His contributions include pioneering models for outlier removal, methods for hyperspectral noise suppression, and developing high-resolution land cover maps. His collaborations and memberships with leading professional bodies attest to his influence in shaping the future of geosciences and remote sensing technologies.
- Hyperspectral Image Restoration Using Low-Rank Matrix RecoveryĀ H Zhang, W He, L Zhang, H Shen, Q Yuan IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4729-4743Ā
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Ā 2014
- Total-variation-regularized low-rank matrix factorization for hyperspectral image restorationĀ W He, H Zhang, L Zhang, H Shen IEEE transactions on geoscience and remote sensing 54 (1), 178-188Ā Ā 575Ā Ā 2016
- Image super-resolution: The techniques, applications, and futureĀ L Yue, H Shen, J Li, Q Yuan, H Zhang, L Zhang Signal Processing 128, 389-408Ā Ā 522Ā Ā 2016
- A super-resolution reconstruction algorithm for surveillance imagesĀ L Zhang, H Zhang, H Shen, P Li Signal Processing 90 (3), 848-859Ā Ā 396Ā Ā 2010
- A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral ImageryĀ H Zhang, J Li, Y Huang, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingĀ Ā 318Ā Ā 2014
- Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multi-temporal Dictionary LearningĀ X Li, H Shen, L Zhang, H Zhang, Q Yuan, Y Gang IEEE Transactions on Geoscience and Remote Sensing 52 (11), 7086-7098Ā Ā 287Ā Ā 2014
- Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix ApproximationĀ W He, H Zhang, L Zhang, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingĀ Ā 261Ā Ā 2015