Current Professional Societies

Member of Institute of Electrical and Electronics Engineers;

Member of Chinese Institute of Electronics

Research Areas

Machine Learning, optical and microwave remote sensing, biomedical image processing

Honors

First-Class Postgraduate scholarship of Beihang University;

Yuen Yuen Remote Sensing Science & Technology Scholarship

Personal Statement

Dr. YU LI was born in Beijing, China in 1986. He received his B.S. degree in Electronics and Information Engineering in 2009, and the M.S. degree in Information and Communication Engineering from Beihang University in Beijing, China in 2012. He got his Ph.D. degree in Microwave Remote Sensing from the Chinese University of Hongkong, Hong Kong, China, in 2015.

Since 2016, he is a Lecturer and Associate Professor at Department of Information and Telecommunication Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China. He is the author of more than 20 peer-reviewed articles and three book chapters. His major research interests include synthetic aperture radar signal and image processing, machine learning and data fusion. He is a guest editor of the journal Remote Sensing.

Publications

Journal papers

1. Li, Y.#, Zhang, Y.*, Chen, J., Zhang, H., Improved Compact Polarimetric SAR Quad-Pol Reconstruction Algorithm for Oil Spill Detection, Geoscience and Remote Sensing Letters, IEEE, vol. 11, no. 6, pp.1139-1142, 2014.

2. Li, Y.#, LIN, H.*, Chen J., Zhang, Y., Comparison of Compact Polarimetric SAR Features for Oil Slicks Discrimination, Journal of Sensors, 2015.

3. Li, Y.#, Zhang, Y.*, Synthetic Aperture Radar Oil Spills Detection Based on Morphological Characteristics, Geo-spatial Information Science, vol. 17 no. 1, pp. 8-16, 2014.

4. Li, Y.#, Zhang, Y.*, Hui, L., Oil-spill Pollution Remote Sensing by Synthetic Aperture Radar, Geoscience and Remote Sensing, edited by Maged Marghany, published by INTECH. (Book Chapter)

5. Yu LI, Yuanzhi ZHANG and Hui LIN, Oil Spills Detection and Classification with Fully and Compact Polarimetric SAR, Advances in SAR Remote Sensing of Oceans, CRC press, Oct. 2018.(Book Chapter)

6. Yuanzhi Zhang#*, Yu Li*, X. San Liang, Jinyeu Tsou, Comparison of oil spill classifications using fully and compact polarimetric SAR images Applied Sciences, 2017.2.16, 7 (2).

7. Guandong Chen#, Yu Li*, Guangmin Sun and Yuanzhi Zhang*, Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images, Applied Sciences 2017, 7(10), 968.

8. Jin Yeu Tsou#, Yanfei Gao, Yuanzhi Zhang*, Genyun Sun, Jinchang Ren and Yu Li*, Evaluating Urban Land Carrying Capacity Based on the Ecological Sensitivity Analysis: A Case Study in Hangzhou, China. Remote Sensing, 2017, 9(6):529.

9. Wang H#, Zhang Y*, Jin T, LI Y.*， Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover. Sustainability, 2017, 9(9):1538.

10. Kapo Wong#, Yuanzhi Zhang*, Jin Yeu Tsou, Yu Li*, Assessing Impervious Surface Changes in Sustainable Coastal Land Use: A Case Study in Hong Kong, Sustainability, 2017, 9(6), 1029.

11. Jingze Cai#, Yuanzhi Zhang*, Yu Li*, X. San Liang, Tingchen Jiang, Analyzing the Characteristics of Soil Moisture Using GLDAS Data: A Case Study in Eastern China, Applied Sciences, 2017, 7(6), 566.

12. Tsou J, Zhuang J, Li Y, et al. Urban Heat Island Assessment Using the Landsat 8 Data: A Case Study in Shenzhen and Hong Kong，Urban Science. 2017, 1(1):10.

13. Hongsheng Zhang, Hui Lin, Yu Li, Yuanzhi Zhang and Chaoyang Fang. Mapping urban impervious surface with dual-polarimetric SAR data: An improved method. Landscape and Urban Planning. 2016.2.01, 151: 55~63.

14. Zhang Y, Hallikainen M, Zhang H, Duan H, LI Y, Liang X, Chlorophyll-a Estimation in Turbid Waters Using Combined SAR Data with Hyperspectral Reflectance Data: A Case Study in Lake Taihu, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, PP (99):1-12.

15. Zibo Li, Guangmin Sun, Cunfu He, Xiucheng Liu, Ruihuan Zhangm, Yu Li, et al., Multi-variable Regression Methods using Modified Chebyshev Polynomials of Class 2. Journal of Computational and Applied Mathematics,346, 609-619, 2019.

16. Sun G, Liu, H, Ge C, Li Y, et al., A Novel Prediction Method for Hardness Using AR Spectrum of Barkhausen Noise. Journal of Nondestructive Evaluation, 37(4), 2018.

17. Hongsheng Zhang#; Hui Lin *; Yu Li, Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification, Geoscience and Remote Sensing Letters, IEEE, vol.12, no.5, pp.1061,1065, May 2015.

18. Zhongyang Zhu, Guangmin Sun, Bin Wu, Cunfu He, Yu Li, A Temperature Compensation Method for Magneto-Elastic Tension Sensor in Rod-like Structure Tension Measurement. IEEE Transactions on Magnetics 54(4), 2018.

19. LI Z, Sun G, He C., Zhao D, Liu X, Huang Y, Li Y., et al., Non-Destructive Residual Strain Prediction Using the Binary Pattern of Eddy Current. IEEE Transactions on Magnetics, 53(8), 2017.

20. Li Z, Sun G, He, C, Li Y, et al., Prediction of the hardness of X12m using Barkhausen noise and component analysis methods. Journal of Magnetism and Magnetic Materials, 2019.

21. Zhang H, Li J, Wang T, Lin H, Zhang Z, Li Y, Lu Y. A manifold learning approach to urban land cover classification with optical and radar data. Landscape and Urban Planning, 172, 11-24, 2018.

Conference Papers

1. Guandong Chen, Yu Li, et al., Polarimetric SAR oil spill detection based on deep networks. IEEE International Conference on Imaging Systems and Techniques, 2017.

2. Li Y., Zhang Y, Chen J, et al. Model-based sea surface scattering analysis for the DWH oil spill accident case, Geoscience and Remote Sensing Symposium. IEEE, 2016:7711-7714.

3. Zhang Y, Li Y, He Y, et al. Supervised oil spill classification based on fully polarimetric SAR features, Geoscience and Remote Sensing Symposium. IEEE, 2016:1540-1543.

4. Migliaccio M, Nunziata F, Li Y, et al. Statistical analysis of polarimetric characteristics for oil spill classification: The special case of DWH, Geoscience and Remote Sensing Symposium. IEEE, 2014:2657-2660.

5. Chen J, Li Y, Wen X, et al. Quantitative evaluation for compact polarimetric SAR image reconstruction based on information-theoretic analysis, Geoscience and Remote Sensing Symposium. IEEE, 2011:467-470.

6. Hui Lin, Yuanzhi Zhang, Yu Li, Analysis of Polarimetric Features from CTLR Compact Polarimetric SAR Data for Discriminating Oil Slick Damping Status International Geoscience and Remote Sensing Symposium. IEEE, 2014.7.13.

Book chapters

1. Yu Li, Yuanzhi zhang and Hui Lin, Oil Spills Detection and Classification with Fully and Compact Polarimetric SAR, Advances in SAR Remote Sensing of Oceans, CRC press, Oct. 2018.

2. Tingchen Jiang, Xiuping Wang, Yuanzhi Zhang and Yu Li, Monitoring Land Surface Deformation with Satellite ScanSAR Images: Case Studies on Large Earthquakes in China, Recent Advances and Applications in Remote Sensing, INTECH, 2017.

3. Li, Y., Zhang, Y., Hui, L., Oil-spill Pollution Remote Sensing by Synthetic Aperture Radar, Geoscience and Remote Sensing, edited by Maged Marghany, INTECH, 2013.