CISS 2023

Title: Learning-based InSAR signal processing chain

Summary: InSAR technology has been widely applied to digital elevation model (DEM) generation and geo-hazard deformation analysis. As an ill-posed problem, the accuracy of the InSAR product is sensitive to the selection of parameters and processing approaches with rapid ground deformation or topographic changes. It will require that InSAR signal processing practitioners have to be well-experienced, which is unfavourable to the generalization and commercialization of InSAR. To date, deep convolutional neural network (DCNN) provides a new data-driven framework for accumulating experience, which will lower the skill barrier of InSAR practitioners, and provide reliable InSAR signal processing solutions to complex terrain mapping and geo-hazard deformation monitoring, especially for domestic SAR satellites.

Self-introduction: Hanwen Yu (Senior Member, IEEE) received the B.S. and Ph.D. degrees in electronic engineering from Xidian University, Xian, China, in 2007 and 2012, respectively. He was a Post-Doctoral Fellow with the Department of Civil and Environmental Engineering, National Center for Airborne Laser Mapping, University of Houston, Houston, TX, USA. He is currently a Full Professor with the School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China, and an Adjunct Full Professor with the Academy of Advanced Interdisciplinary Research, Xidian University, Xi’an, China, and the Department of Engineering, University of Naples, Naples, Italy. He has authored more than 70 scientific articles and given scientific presentation about “Advanced Techniques in InSAR Phase Unwrapping” invited by the IEEE Geoscience and Remote Sensing Society (GRSS) Webinar in 2021. He reviewed more than 300 manuscripts for more than 20 different journals. His research interests include InSAR, and this work has led to new insights into the worldwide deformation monitoring and topographic mapping. Dr. Yu has been involved in IEEE (in general) and IEEE GRSS in particular. He was elected as a Best Reviewer of IEEE TRANSACTIONS GEOSCIENCE AND REMOTE SENSING in 2019. He was a recipient of several awards and honors from IEEE GRSS, including the 2022 Transactions Prize Paper Award, the Technical Program Committee Member and the Session Chair of 2022 IGARSS, and the Principal Investigator of two IEEE GRSS 50%-funding projects. He is also elected as an AdCom member of IEEE GRSS beginning in 2023. He is the Editor-in-Chief of IEEE JOURNAL ON MINIATURIZATION FOR AIR AND SPACE SYSTEMS, a Topical Associate Editor of IEEE TRANSACTIONS GEOSCIENCE AND REMOTE SENSING, and an Associate Editor of IEEE Geoscience and Remote Sensing Magazine.