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Enhancing 3D SAR Imaging: A Near-Field Back Projection Algorithm for Addressing Geometric Distortion

  • Yuanhao Wang
  • , Jun Wang*
  • , Guidong He
  • , Tieshuai Song
  • , Jiangyou Zhu
  • , Chi Zhang
  • , Xinyuan He
  • *此作品的通讯作者
  • Beihang University
  • Tsinghua University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper aims to address the issue of geometric distortion in traditional 2D SAR imaging under near-field conditions. To achieve this, the study explores the geometric model of MIMO SAR 3D imaging and derives the 3D back projection (BP) imaging algorithm based on it. The algorithm's effectiveness is verified through the simulation of point targets and the collection of data using a sliding rail SAR system to image metal sheets in actual scenes. The simulation and actual imaging results confirm that our near-field BP algorithm has better imaging results compared to the BP algorithm which does not consider near-field effects while maintaining acceptable computational complexity.

源语言英语
主期刊名IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
9648-9652
页数5
ISBN(电子版)9798350360325
DOI
出版状态已出版 - 2024
活动2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, 希腊
期限: 7 7月 202412 7月 2024

出版系列

姓名International Geoscience and Remote Sensing Symposium (IGARSS)

会议

会议2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
国家/地区希腊
Athens
时期7/07/2412/07/24

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