Transionospheric Synthetic Aperture Radar Observation: A comprehensive review

被引：2
作者：
Ji, Yifei [1 ]
Dong, Zhen [1 ]
Zhang, Yongsheng [1 ]
Wang, Cheng [2 ]
Hu, Cheng [3 ]
Xu, Zhengwen [4 ]
机构：
[1] NUDT, Coll Elect Sci & Technol, Changsha 410073, Peoples R China
[2] China Acad Space Technol CAST, Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China
[3] Univ Birmingham, Birmingham, England
[4] China Res Inst Radiowave Propagat CRIRP, Natl Key Lab Electromagnet Environm, Qingdao 266107, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE | 2024年
基金：
中国国家自然科学基金;
关键词：
Synthetic aperture radar; L-band; Spaceborne radar; Reviews; Ionosphere; Electrons; Satellites; ANISOTROPIC IONOSPHERIC IRREGULARITIES; PHASE GRADIENT AUTOFOCUS; SAR IMAGING DEGRADATION; FARADAY-ROTATION; SPACEBORNE SAR; PERFORMANCE ANALYSIS; POLARIMETRIC DISPERSION; TEC RETRIEVAL; INSAR DATA; SCINTILLATION;
D O I：
10.1109/MGRS.2024.3454635
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
The ionosphere is the Earth's upper atmosphere with sufficiently charged particles that influence the electromagnetic wave propagation, thereby impeding spaceborne synthetic aperture radar (SAR) observations. High precision imaging and the measurements of geographic and geophysical processes using interferometric SAR (InSAR) and polarimetric SAR (Pol-SAR) are hampered. This study presents a detailed and comprehensive review of the research on ionospheric effects on SAR, InSAR, and Pol-SAR, their correction approaches, and reverse guidance for ionospheric sounding. The prospect is raised at the end of the paper, and the ionosphere will continue to be a research hotspot in the remote sensing community due to the development of low-frequency SAR satellites. In addition, applying spaceborne SAR to ionospheric sounding is a promising issue for space weather and geospace physics due to high spatiotemporal resolution and abundant parameter information.
引用
收藏
页码：2 / 43
页数：42
相关论文
共 50 条
  • [31] Synthetic Aperture Radar Interferometry: Utilizing Radar Principles
    Tanaka, Tasuku
    Parwata, I. Nyoman Sudi
    Yastika, Putu Edi
    IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2020, 8 (04) : 111 - 116
  • [32] Correlating Synthetic Aperture Radar (CoSAR)
    Lopez-Dekker, Paco
    Rodriguez-Cassola, Marc
    De Zan, Francesco
    Krieger, Gerhard
    Moreira, Alberto
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (04): : 2268 - 2284
  • [33] A mathematical tutorial on synthetic aperture radar
    Cheney, M
    SIAM REVIEW, 2001, 43 (02) : 301 - 312
  • [34] Cancellation of singularities for synthetic aperture radar
    Caday, Peter
    INVERSE PROBLEMS, 2015, 31 (01)
  • [35] Faraday Rotation Correction for the ESA BIOMASS P-band Synthetic Aperture Radar
    Rogers, Neil
    Quegan, Shaun
    2013 7TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2013, : 3919 - 3923
  • [36] Synthetic Aperture Radar Increment Imaging Based on Compressed Sensing
    Geng, Jiwen
    Yu, Ze
    Li, Chunsheng
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [37] Multistatic Dispersed Swarm Configurations for Synthetic Aperture Radar Imaging
    Mittermayer, Josef
    Krieger, Gerhard
    Villano, Michelangelo
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [38] Spaceborne squinted multichannel synthetic aperture radar data focusing
    Huang, Pingping
    Xu, Wei
    Li, Shengyang
    IET RADAR SONAR AND NAVIGATION, 2014, 8 (09) : 1073 - 1080
  • [39] Backprojection Subimage Autofocus of Moving Ships for Synthetic Aperture Radar
    Sommer, Aron
    Ostermann, Joern
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (11): : 8383 - 8393
  • [40] A Review of Satellite Synthetic Aperture Radar Interferometry Applications in Permafrost Regions: Current Status, Challenges, and Trends
    Zhang, Zhengjia
    Lin, Hong
    Wang, Mengmeng
    Liu, Xiuguo
    Chen, Qihao
    Wang, Chao
    Zhang, Hong
    IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2022, 10 (03) : 93 - 114
12345