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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9789082598704
DOIs
Publication statusPublished - 10 Nov 2017
Event32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 - Montreal, Canada
Duration: 19 Aug 201726 Aug 2017

Publication series

Name2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Volume2017-January

Conference

Conference32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Country/TerritoryCanada
CityMontreal
Period19/08/1726/08/17

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