主讲人：王勇 教授
邀请人：阎广建 教授
时 间：2025年5月26日（周一）15:00
地 点：北京师范大学 科技楼B1010
专家简介：
Yong Wang earned his Ph.D. from the University of California, Santa Barbara (USA) and previously served as a professor at East Carolina University, North Carolina. He is currently affiliated with the University of Electronic Science and Technology of China. His research spans SAR imaging algorithms, SAR remote sensing for Earth observation, InSAR-based surface deformation monitoring, radar backscatter model inversion for forest parameter retrieval, thin cloud removal in optical imagery, and flood extent mapping using geospatial techniques and datasets. With nearly 220 journal and conference publications, Dr. Wang has been ranked among the world’s top 2% most-cited scientists (career-long impact) since 2020—an annual distinction jointly published by Elsevier and Stanford University. He holds editorial leadership roles as Co-Editor-in-Chief of the Journal of Electronic Science and Technology and as an Associate Editor for Remote Sensing of Environment, and IEEE Transactions on Geoscience and Remote Sensing.
主要内容：
Polarimetric Synthetic Aperture Radar (PolSAR) decomposition algorithms were initially developed for backscatter analysis in forested environments. However, their use in urban areas is limited by two fundamental assumptions. Radar targets exhibit azimuthal symmetry, and cross-polarized backscatter originates solely from tree canopies. Over time, these algorithms have undergone enhancements to better accommodate urban settings. With the increasing complexity of the algorithms and the evolution of SAR technology, it is crucial to assess past developments and establish strategies for addressing emerging challenges. We conduct a qualitative and quantitative evaluation using point and distributed radar targets from multiple urban study areas, employing data captured by various airborne and spaceborne PolSAR sensors. These sensors operate across C-, L-, and P-band frequencies, offer moderate to high resolutions, and span a wide range of radar incidence angles. The assessment highlights existing algorithms’ strengths and limitations while underscoring PolSAR data’s challenges with diverse radar system parameters and advancing SAR technology. Exploratory approaches are proposed to navigate these obstacles.
