Space-surface Bistatic SAR Tomography: A Promising Approach for Accurate Local 3D Reconstruction

Zhiyang Chen, Yuanhao Li*, Xinyan Chen, Cheng Hu, Mihai Datcu, Andrea Virgilio Monti-Guarnieri, Stephen Hobbs

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

With a flexibly deployed receiver, space-surface bistatic Synthetic Aperture Radar (SS-BiSAR) can increase the observation sensitivity in the north-south direction, which is a promising method for local high-precision three-dimensional deformation retrieval. However, in urban areas, the layover effect hinders the determination of the dominant scatterer in each resolution cell. Multi-baseline SAR tomography is an effective approach to solving overlaid scatterers. This paper presents the first experiment result of SS-BiSAR tomography. By estimating and removing the interferometric fringes, the repeat-track orbit errors are effectively corrected. The experiment was conducted based on the first L-band spaceborne twin SAR - the Chinese Lutan-1 (LT-1). A total of 11 repeat-track SAR images were acquired, and three-dimensional point clouds of a building area was recovered, with an accuracy of approximately 4 meters.

源语言英语
页(从-至)3375-3380
页数6
期刊IET Conference Proceedings
2023
47
DOI
出版状态已出版 - 2023
活动IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国
期限: 3 12月 20235 12月 2023

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