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商品描述
Lunar explorations have received increasing attention in recent years with tremendous application values, including using the Moon as a remote sensing platform for Earth observation. As an active sensor, the Synthetic Aperture Radar (SAR) can detect changes in the atmosphere, terrain, and ocean. Moon-based SAR, complementary to the spaceborne SAR systems, 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. Written as a SAR imaging of Earth on the lunar-based platform, it makes it an essential reference to those interested in planetary and Earth sciences.
FEATURES
- Uses the Moon as a remote sensing platform for Earth observation
- Explains how to obtain a high spatial resolution with a short revisit time using the Moon-based SAR
- Covers the observation geometry, range and signal models, two-dimensional signal spectrum, and focusing algorithms for the Moon-based SAR
- Presents a detailed analysis of sources of phase errors in the Moon-based SAR signal
- Includes global case studies and introduces conceptual ideas for further research
This book is intended for senior graduate students, professional researchers, and engineers studying and working in the fields of lunar exploration and remote sensing applications, especially when dealing with high-orbit SAR studies.
商品描述(中文翻譯)
近年來，月球探索受到越來越多的關注，具有巨大的應用價值，包括將月球用作地球觀測的遙感平台。合成孔徑雷達（Synthetic Aperture Radar, SAR）作為一種主動傳感器，能夠檢測大氣、地形和海洋的變化。基於月球的SAR，作為空間SAR系統的補充，擴展了我們觀察和理解地球的能力。本書解釋了月球-地球觀測幾何、通用參數、影像聚焦以及使用基於月球的SAR的前景。作為一部關於月球平台上地球的SAR成像的著作，它成為對於對行星和地球科學感興趣的讀者的重要參考。
特色
- 將月球用作地球觀測的遙感平台
- 解釋如何使用基於月球的SAR獲得高空間解析度和短重訪時間
- 涵蓋基於月球的SAR的觀測幾何、距離和信號模型、二維信號頻譜以及聚焦算法
- 詳細分析基於月球的SAR信號中的相位誤差來源
- 包括全球案例研究並介紹進一步研究的概念性想法
本書旨在為高年級研究生、專業研究人員和工程師提供參考，特別是那些在月球探索和遙感應用領域學習和工作的專業人士，尤其是在處理高軌道SAR研究時。
作者簡介
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.
作者簡介(中文翻譯)
徐震於2020年加入汕頭大學電子與資訊工程系。他在中國科學院遙感與數字地球研究所及中國科學院大學獲得地圖學與地理資訊系統的博士學位，研究興趣包括月球基SAR的系統設計與信號處理。他曾獲得汕頭大學的優秀人才獎及汕頭市的高層次人才獎。徐博士還於2018年獲得國際空間、航空及導航電子會議（ICSANE）的青年科學家獎，以及2023年國際無線科學聯合會（URSI GASS）大會及科學研討會的青年科學家獎。
陳坤山是中國南京大學的全國傑出教授。他於1990年在德克薩斯州阿靈頓大學獲得電機工程博士學位。研究興趣包括微波遙感理論、建模、系統、測量、智能信號處理及雷達數據分析。他已發表和共同發表超過500篇經過審核的期刊和會議論文。他是幾本由CRC Press出版的書籍的作者。陳博士的學術活動非常豐富，跨越30年。他是IEEE Fellow，因其在粗糙表面的微波散射與發射建模及雷達影像模擬與理解方面的貢獻，獲得2021年IEEE GRSS Fawwaz Ulaby傑出成就獎。
