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Moon-based SAR expands our capabilities of watching and understanding the Earth. This book explains the Moon-Earth observation geometry, generic parameters, image focusing, and outlook using the Moon-based SAR. It an essential reference to those interested in planetary and Earth sciences, especially when dealing with high-orbit SAR studies.
Zhen Xu joined the Department of Electronic and Information Engineering at Shantou University in 2020. He earned a PhD in cartography and geographic information system at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences in 2020. His research interests include the system design and signal processing of Moon-based SAR. He was awarded the Outstanding Talent of Shantou University and the High-Level Talent of Shantou City. Dr. Xu also received Young Scientist Awards from the International Conference on Space, Aeronautical, and Navigational Electronics (ICSANE) in 2018 and the General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) in 2023. Kun-Shan Chen is a nationally distinguished professor at Nanjing University in China. He earned a PhD in electrical engineering at the University of Texas at Arlington in 1990. His research interests include microwave remote sensing theory, modeling, systems, measurement, intelligent signal processing, and data analytics for radar. He has authored and co-authored over 500 refereed journals and conference papers. He is the author of several books published by CRC Press. His academic activities are numerous, spanning 30 years. Dr. Chen, an IEEE Fellow, received the 2021 IEEE GRSS Fawwaz Ulaby Distinguished Achievement Award for his contributions to microwave scattering and emission modeling of rough surface and radar image simulation and understanding.
1. Background. 2. Moon-Based Earth Observation Geometry. 3. Generic Parameters in the MBSAR System. 4. Spatiotemporal Coverage in the MBSAR System. 5. Signal Model of the MBSAR System. 6. Signal Processing and Image Focusing. 7. Orbital Perturbation Effects in the MBSAR. 8. Ionospheric Effects on the L-Band MBSAR Imaging.
