Dr. Yongsheng Zhou

Professor

Editor：College of Information Science and Technology Time：2024-11-06

Dr. Yongsheng Zhou


Professor，Ph.D. Supervisor

member of Information Science and Technology

Email: zhyosh@mail.buct.edu.cn


Background                                                                  

Yongsheng Zhou, Doctor of Engineering, Professor, Ph.D. Supervisor. graduated from Institute of Electronics, Chinese Academy of Sciences in 2010, majoring in Signal and Information Processing, and received a Ph.D. degree in Engineering. worked at Institute of Optoelectronics Research, Chinese Academy of Sciences from 2010 to 2019. joined the School of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China, in 2019.

Areas of Research of Expertise

  • Synthetic aperture radar (SAR) image target detection and identification

  • Polarization/polarization interferometric SAR data processing applications

  • Microwave satellite/aerospace remote sensing load calibration and performance testing, etc.

Teaching                                             

  • Digital Signal Processing,

  • Python Language Programming

  • Remote Sensing Image Processing and Applications

Research                                                

Funded Research Projects

The National Natural Science Foundation of China:

  • Research on SAR Radiation Cross-calibration Method Based on the Transformation of Ubiquitously Stable Target Characteristics(National Natural Science Foundation of China)

  • Microwave Gaze Correlation Imaging Target Characterization Modeling and Detection and Identification Methods(National Natural Science Foundation of China)

  • Research on UAV-Borne Polarization Interferometry SAR Forest Height Inversion Methods(National Natural Science Foundation of China Youth Program)

Main Achievements & Awards

  • Outstanding Instructor of Beijing Undergraduate Graduation Design, 2021

  • The 1st place in “Automatic Classification of Fully Polarized SAR National Feature Elements” of the 4th “CSTC Cup” High-Resolution Remote Sensing Image Interpretation Software Competition, 2020.

Five Representative Publications                                           

  1. Y. Zhou Y, P. Chen, Q. Yin, E. Chen, L. Ferro-Famil, F. Zhang. Polarimetric SAR Cross-Calibration Method based on Stable Distributed Targets [J], Geo-spatial Information Science, 2024.

  2. Y. Zhou, L. Zhuang, J. Duan, F. Zhang, W. Hong. Synthetic Aperture Radar Radiometric Cross Calibration Based on Distributed Targets [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 9599–9612.

  3. Y. Zhou, C. Li, L. Tang, L. Ma, Q. Wang, Q. Liu. A Permanent Bar Pattern Distributed Target for Microwave Image Resolution Analysis [J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(2): 164–168.

  4. Y. Zhou, H. Liu, F. Ma, Z. Pan, F. Zhang. A Sidelobe-Aware Small Ship Detection Network for Synthetic Aperture Radar Imagery [J], IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-16.

  5. Y. Zhou, F. Zhang, Q. Yin, F. Ma and F. Zhang. Inshore Dense Ship Detection in SAR Images Based on Edge Semantic Decoupling and Transformer [J], IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 4882-4890.

  6. Y. Zhou, F. Zhang, F. Ma, D. Xiang, F. Zhang. Small Vessel Detection Based on Adaptive Dual-Polarimetric Feature Fusion and Sea-Land Segmentation in SAR Images [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 2519–2534.

  7. Y. Zhou, S. Zhang, X. Sun, F. Ma, F. Zhang. SAR Target Incremental Recognition Based on Hybrid Loss Function and Class-Bias Correction [J]. Applied Sciences, 2022, 12(3).

  8. Y. Liu, G. Yan, F. Ma, Y. Zhou, F. Zhang. SAR Ship Detection Based on Explainable Evidence Learning under Intra-class Imbalance [J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.

  9. F. Ma, X. Sun, F. Zhang, Y. Zhou, H.-C. Li. What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue [J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1–17.

  10. Y. Zhou, K. Yang K, F. Ma, W. Hu, F. Zhang. Water–Land Segmentation via Structure-Aware CNN–Transformer Network on Large-Scale SAR Data [J]. IEEE Sensors Journal, 2023, 23(2): 1408–1422.

  11. F. Ma, F. Zhang, Q. Yin, D. Xiang, Y. Zhou. Fast SAR Image Segmentation with Deep Task-Specific Superpixel Sampling and Soft Graph Convolution [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1–16.

  12. F. Ma, F. Zhang, D. Xiang, Q. Yin and Y. Zhou. Fast Task-Specific Region Merging for SAR Image Segmentation [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1–16.

  13. Z. Zhang, S. Tan, Y. Zhou. CloudformerV3: Multi-Scale Adapter and Multi-Level Large Window Attention for Cloud Detection [J]. Applied Sciences, 13(23).

  14. Z. Zhang, Z. Xu, C. Liu, Q. Tian, Y. Zhou. Cloudformer V2: Set Prior Prediction and Binary Mask Weighted Network for Cloud Detection [J]. Mathematics, 2022, 10(15).

  15. Z. Zhang, C. Miao, C. Liu, Q. Tian, Y. Zhou. HA-RoadFormer: Hybrid Attention Transformer with Multi-Branch for Large-Scale High-Resolution Dense Road Segmentation [J]. Mathematics, 2022, 10(11).