
Ground Based Synthetic Aperture Radar
Beschreibung
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Features:
Introduces GB-SAR, an advanced tool that measures in-millimeter ground surface displacement.
Explains how the GB-SAR system can be installed for landslide monitoring.
Provides a new radar technology that monitors vibrations of infrastructure remotely.
Discusses the advanced radar technology related to polarimetry and interferometry.
Includes several case studies applying the tools and techniques discussed to natural disasters, such as landslides, volcanoes, glaciers, and so on.
This book is intended for civil professionals who deal with disaster mitigation and infrastructure monitoring and those in electrical engineering, including radar technology. It is also an excellent resource for upper-level undergraduate and graduate students taking courses in remote sensing and photogrammetry, geography, geodesy, information science, engineering, and geology, as well as researchers and scientists interested in learning the techniques and technologies for collecting, analyzing, managing, and visualizing geospatial data sets.
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Andere Ausgaben


Personen
Weike Feng is an associate professor at Air Force Engineering University, Shaanxi, China, and the leader of a youth innovation team of Shaanxi universities. He received his B.E. from Air Force Engineering University, Shaanxi, China, in 2013 and his Ph.D. from Tohoku University, Sendai, Japan, in 2019. Dr. Feng received the Young Researcher Award from the IEEE GRSS All Japan Joint Chapter, the Student Award from IEEE AP-S Japan, and the Excellent Paper Award from IET International Radar Conference in 2018, as well as the Professor Fujino Incentive Award from Tohoku University and the Best Student Paper Award from PIERS in 2019.
Yuta Izumi received his B. Eng and M. Eng from Chiba University, Japan, in 2016 and 2018, respectively, and his Ph.D. in radar remote sensing from Tohoku University, Japan, in 2021. From 2018 to 2020, he was a JSPS research fellow DC1. From 2019 to 2020, he stayed at the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland. From 2021 to 2022, he was a JSPS research fellow (postdoctoral) at the Institute of Industrial Science, University of Tokyo. He is currently an assistant professor at the Muroran Institute of Technology. His research interests include SAR interferometry and polarimetry and their applications for disaster mitigation and infrastructure health monitoring. Dr. Izumi is a recipient of the Student Paper Award at the ISRS in 2017, President Award from Chiba University in 2018, Dean Award from the Graduate School of Advanced Integration in 2018, Science Young Researcher Award from the IEEE Geoscience and Remote Sensing Society All Japan Joint Chapter in 2019, and Student Poster Award at the IEICE-AP in 2020.
Amila Karunathilake is a senior researcher at Advanced Technologies Research Laboratory, Asia Air Survey Co., LTD., Kawasaki, Japan. He received his B.Sc. and M.Sc. from the University of Peradeniya, Kandy, Sri Lanka, in 2011 and 2014, respectively, and his Ph.D. in environmental studies from Tohoku University, Sendai, Japan, in 2017. He was a post-doctoral research fellow with Tohoku University in 2018. He has shown his expertise by involvement in multi-participant disaster prevention research projects under the Cross-Ministerial Strategic Innovation Promotion Program (SIP) from 2019 to 2020. He collaborated with the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) from 2021-2022 in Japan by consulting SAR remote sensing, spatial data processing, and analysis. His research interests include 3D spatial modeling, LiDAR-based mobile mapping systems (MMSs), new algorithms, application development for spaceborne and ground-based synthetic aperture radar, interferometric and polarimetric SAR analysis for infrastructure monitoring, and disaster prevention and mitigation. Dr. Karunathilake was a recipient of the Young Researcher Award from the IEEE GRSS Japan Chapter and the best Ph.D. Student Award from Graduate School of Environmental Studies, Tohoku University, in 2017.
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