Presents new and advanced concepts, theories, and methodologies in radar polarimetry, bridging the gaps between the target scattering diversity, polarimetric radar data, and their practical applications, providing a comprehensive summarization and investigation of polarimetric roll-invariant features for researchers, students, and engineers.
Presents new and advanced concepts, theories, and methodologies in radar polarimetry, bridging the gaps between the target scattering diversity, polarimetric radar data, and their practical applications, providing a comprehensive summarization and investigation of polarimetric roll-invariant features for researchers, students, and engineers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Si-Wei Chen earned a PhD (Hons.) in environmental studies at Tohoku University, Sendai, Japan, in 2012. He is a Professor at the National University of Defense Technology. He has published more than 130 journal and conference articles and coauthored three monographs and holds 28 patents. His research interests include radar polarimetry, polarimetric radar imaging, environmental study, and machine learning. Dr. Chen was a recipient of the Excellent Young Scholar from the National Natural Science Foundation of China, a recipient of the IEEE Geoscience and Remote Sensing Society (GRSS) Early Career Award, the Natural Science Foundation of Hunan Province for Distinguished Young Scholars, the Young Talent of Hunan Province, China. He won the First Prize of Invention and Innovation Award from China Association of Inventions in 2023, the Second Prize of the National Teaching Achievement Award in 2023, the Second Prize of the National Award for Progress in Science and Technology in 2021, and the First Prize of the Natural Science Award from Hunan Province of China in 2018. He is an Associate Editor of the IEEE Geoscience and Remote Sensing Letters and an Editorial Board Member of the Journal of Remote Sensing, Journal of Electronics and Information Technology, Journal of Radars, Journal of Signal Processing, and Journal of National University of Defense Technology.
