Lilong Zou

Jilin Province Science and Technology Department, Kingston University

Papers

Total Citations

H-Index

About

Lilong Zou is a pioneering researcher in ground penetrating radar (GPR) technology, with a primary focus on advancing subsurface imaging through polarimetric and AI-driven methods. His most notable contribution is the development of a novel full-polarimetric GPR system, which moves beyond traditional single-polarization approaches to capture a richer set of backscattered wave data. This innovation significantly enhances the discrimination and imaging of subsurface targets, offering a more detailed and accurate view of buried structures. With 4 citations, this foundational work has laid the groundwork for more sophisticated radar analysis. More recently, Zou has bridged theory and practice by reviewing AI-driven techniques for GPR interpretation, addressing long-standing challenges like subjectivity and inefficiency in manual data analysis. This 2025 review, already garnering 3 citations, highlights his forward-looking approach to integrating artificial intelligence into geophysical sensing. Through these contributions, Zou is shaping the future of non-destructive subsurface exploration, making his work essential reading for students and researchers in remote sensing, civil engineering, and environmental geophysics.