Qiangqiang Yuan
Also known as 袁强强
Qiangqiang Yuan is a professor at Wuhan University whose deep learning work restores and sharpens satellite imagery. He earned a bachelor's degree in surveying and mapping engineering in 2006 and a Ph.D. in photogrammetry and remote sensing in 2012, both at Wuhan, and joined the university's School of Geodesy and Geomatics in 2012. In 2014, he received the Hong Kong Scholar Award, and in 2018 he and coauthors proposed the HSID-CNN and SSGN networks for hyperspectral image denoising. His later work includes the EDiffSR diffusion model and a satellite video super-resolution method in 2023, a Mamba-based super-resolution model and a blind satellite video method in 2024, and Tortho-Gaussian, a 3D Gaussian Splatting method for orthophoto maps, in 2024. As of October 2026, he is vice dean of the School of Geodesy and Geomatics, in charge of graduate admissions, education and teaching, and international cooperation.
- Now at
- Wuhan University
Timeline
-
2006–2012
Degrees at Wuhan University
He earns a B.S. in surveying and mapping engineering in 2006 and a Ph.D. in photogrammetry and remote sensing in 2012, both from Wuhan University.
-
2012
Joining the School of Geodesy
He joins the School of Geodesy and Geomatics at Wuhan University in 2012, where he is a professor. His research interests include image reconstruction, remote sensing image processing and application, and data fusion.
-
2014
Hong Kong Scholar Award
In 2014, he receives the Hong Kong Scholar Award from the Society of Hong Kong Scholars and the China National Postdoctoral Council.
-
2018
Denoising hyperspectral images with HSID-CNN
In June 2018, he and Qiang Zhang, Jie Li, Huanfeng Shen and Liangpei Zhang post a paper on arXiv that proposes HSID-CNN, a spatial-spectral deep convolutional neural network for hyperspectral image denoising. In October 2018, he coauthors the spatial-spectral gradient network SSGN, which removes mixed noise from hyperspectral images.
-
2023
Satellite video and EDiffSR
In April 2023, he and Yi Xiao, Kui Jiang and others post "Local-Global Temporal Difference Learning for Satellite Video Super-Resolution", which uses temporal differences between frames for temporal compensation. In October 2023, the same group posts EDiffSR, an efficient diffusion probabilistic model for remote sensing image super-resolution.
-
2024
Blind video and Mamba super-resolution
In January 2024, he is corresponding author of "Deep Blind Super-Resolution for Satellite Video", whose BSVSR algorithm targets scenes with multiple unknown degradations. In May 2024, he coauthors FMSR, which brings the Mamba vision state space model to remote sensing image super-resolution and beats the Transformer-based HAT-L by 0.11 dB PSNR on average.
-
November 2024
Tortho-Gaussian orthophoto maps
In November 2024, he coauthors Tortho-Gaussian with Xin Wang, Wendi Zhang, Hong Xie, Haibin Ai and Zongqian Zhan. The method adapts 3D Gaussian Splatting to generate true digital orthophoto maps by orthogonally splatting optimized anisotropic Gaussian kernels.
-
As of October 2026
Vice dean of Geodesy and Geomatics
The School of Geodesy and Geomatics at Wuhan University lists him as vice dean, in charge of graduate admissions, education and teaching, and international cooperation. He is a full professor in the school.
Career
- Since 2012Wuhan UniversityProfessor
Education
- 2012Wuhan UniversityB.S. and Ph.D.
Sources and credits
Photo: We have no published photo of Qiangqiang Yuan yet. Send us a free-licensed photo.
- People-地学感知数据质量改善与整合应用研究室 SENDIMAGE
- Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
- Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network
- Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
- EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
- Deep Blind Super-Resolution for Satellite Video
- Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution
- Tortho-Gaussian: Splatting True Digital Orthophoto Maps
- School of Geodesy and Geomatics, Wuhan University_Baiduwiki
- Qiangqiang Yuan - Google Scholar
