Xin Su, PhD, is an Associate Professor at the School of Artificial Intelligence, Wuhan University. He supervises both master’s and PhD students. He earned his doctorate in Signal and Image Processing from Telecom ParisTech in 2015. He then worked as a postdoctoral researcher at INRIA, France, from 2015 to 2018. His research focuses on intelligent analysis of time-series images, spatiotemporal target recognition, and large-scale remote sensing models. He has led and participated in multiple national research projects, publishing extensively in top-tier journals such as IEEE TIP, IEEE TGRS, ISPRS, and JAG. 📚🎓
Profile
Education 🎓
- PhD (2015): Telecom ParisTech, France – Signal and Image Processing 🎓
- Master’s Studies (2008-2011, uncompleted): Wuhan University – Signal and Information Processing 🏫
- Bachelor’s (2004-2008): Wuhan University – Electronic Science and Technology (Engineering) 🎓
Experience 👨🏫
- 2015-2018: Postdoctoral Researcher, INRIA, France 🇫🇷
- 2015: Postdoctoral Researcher, Telecom ParisTech, France 🎓
Research Interests 🔬
Xin Su specializes in intelligent analysis of time-series remote sensing images, spatiotemporal object recognition, and large-scale AI models for remote sensing. His work spans geospatial applications, UAV-based surveillance, and hyperspectral data processing. He actively contributes to developing advanced AI techniques for satellite video analysis and infrastructure monitoring. 🚀🌍
Xin Su has been recognized for his contributions to remote sensing and AI, receiving multiple national research grants and awards for excellence in scientific research and innovation. He has secured funding from National Natural Science Foundation projects and defense-related initiatives. His research has been featured in top IEEE and ISPRS journals, reinforcing his position as a leading researcher in the field. 🌟🏅
Publications 📚
- Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection
Y Xiao, X Su, Q Yuan, D Liu, H Shen, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-19
- Cloud removal with fusion of high resolution optical and SAR images using generative adversarial networks
J Gao, Q Yuan, J Li, H Zhang, X Su
Remote Sensing 12 (1), 191
- A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery
H Guo, B Du, L Zhang, X Su
ISPRS Journal of Photogrammetry and Remote Sensing 183, 240-252
- Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer
Y Xiao, Q Yuan, J He, Q Zhang, J Sun, X Su, J Wu, L Zhang
International Journal of Applied Earth Observation and Geoinformation 108
- Two-Step Multitemporal Nonlocal Means for Synthetic Aperture Radar Images
X Su, CA Deledalle, F Tupin, H Sun
Geoscience and Remote Sensing, IEEE Transactions on
- DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
C Wang, B Luo, Y Zhang, Q Zhao, L Yin, W Wang, X Su, Y Wang, C Li
IEEE Robotics and Automation Letters
- A supervised classification method based on conditional random fields with multiscale region connection calculus model for SAR image
X Su, C He, Q Feng, X Deng, H Sun
IEEE Geoscience and Remote Sensing Letters 8 (3), 497-501
- Object detection based on global-local saliency constraint in aerial images
C Li, B Luo, H Hong, X Su, Y Wang, J Liu, C Wang, J Zhang, L Wei
Remote Sensing 12 (9), 1435