A performance analysis of typical imaging algorithms in Ground-Based Synthetic aperture radar

Cheng Hu*, Qian He, Weiming Tian, Yunkai Deng, Xichao Dong

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Surface deformation disasters, such as landslides, debris flow and collapse, do great harm to human lives and property. Ground-Based Synthetic aperture radar (GB-SAR) has been widely applied in deformation monitoring and measurement with the advantages of all-weather, all-day and high precision. Back projection (BP) algorithm, algorithm based on keystone and subblock dechirp (KSD), and far-field pseudopolar format algorithm (FPFA) are typical imaging algorithms used in GB-SAR. This paper analyzes the three algorithms from aspects of application scope, computation burden, and deformation measurement precision. Results show that KSD is most appropriate for GB-SAR.

源语言英语
主期刊名2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
出版商Institute of Electrical and Electronics Engineers Inc.
1-4
页数4
ISBN(电子版)9789082598704
DOI
出版状态已出版 - 10 11月 2017
活动32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 - Montreal, 加拿大
期限: 19 8月 201726 8月 2017

出版系列

姓名2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
2017-January

会议

会议32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
国家/地区加拿大
Montreal
时期19/08/1726/08/17

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