Researcher

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.

Timeline

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

  1. Since 2012Wuhan UniversityProfessor

Education

  1. 2012Wuhan UniversityB.S. and Ph.D.

Sources and credits

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  1. People-地学感知数据质量改善与整合应用研究室 SENDIMAGE sendimage.whu.edu.cn. Checked 22 October 2026.
  2. Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network arxiv.org. Checked 22 October 2026.
  3. Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network arxiv.org. Checked 22 October 2026.
  4. Local-Global Temporal Difference Learning for Satellite Video Super-Resolution arxiv.org. Checked 22 October 2026.
  5. EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution arxiv.org. Checked 22 October 2026.
  6. Deep Blind Super-Resolution for Satellite Video arxiv.org. Checked 22 October 2026.
  7. Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution arxiv.org. Checked 22 October 2026.
  8. Tortho-Gaussian: Splatting True Digital Orthophoto Maps arxiv.org. Checked 22 October 2026.
  9. School of Geodesy and Geomatics, Wuhan University_Baiduwiki baike.baidu.com. Checked 22 October 2026.
  10. Qiangqiang Yuan - Google Scholar scholar.google.com. Checked 22 October 2026.