Name:Mingliang TAO
Professional Title:Professor
Research Interests:remote sensing, synthetic aperture radar, image processing, radio frequency interference, frequency management
Courses: Principle of Radar System, Remote Sensing
General Introduction:Mingliang Tao received a Ph.D. degree in signal processing from Xidian University, China in 2016 and was a recipient of the Excellent Doctoral Dissertation Award by Shaanxi Province of China in 2019. Dr. Tao was granted the Young Scientist Award by the International Union of Radio Science (URSI) in 2017 and 2020. He authored over 50 papers in leading journals and flagship conferences. He is an IEEE Senior Member, and URSI Senior Member, and serves as the Co-chair of the IEEE GRSS Frequency Allocations in Remote Sensing(FARS) Technical Committee.
Selected publications:
Radio frequency interference signature detection in radar remote sensing image using semantic cognition enhancement network, IEEE Transactions on Geoscience and Remote Sensing,2018, Volume 60, P 1-14.
Extraction and mitigation of radio frequency interference artifacts based on time-series Sentinel-1 SAR data, IEEE Transactions on Geoscience and Remote Sensing,2021, Volume 60, P 1-11.
A radio signal recognition approach based on complex-valued cnn and self-attention mechanism, IEEE Transactions on Cognitive Communications and Networking, 2022,Volume 8, P 1358-1373.
Multifractal correlation analysis of autoregressive spectrum-based feature learning for target detection within seaclutter, IEEE Transactions on Geoscience and Remote Sensing,2021, Volume 60, P1-11.
Characterization and Removal of RFI Artifacts in Radar Data via ModelConstrained Deep Leaming Approach, Remote Sensing, 2022, Volume 14, P 1578.