Parametric reconstruction of arc-shaped structures in synthetic aperture radar imaging

Yan Wang, Yuhan Wen, Xinliang Chen*, Hui Kuang, Yujie Fan, Zegang Ding, Tao Zeng

*Corresponding author for this work

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Abstract

As a basic scattering element, arc-shaped structures can present considerable geometric information of the observed targets in synthetic aperture radar (SAR) images. The arc-shaped structures of various artificial objects sometimes completely disappear in radar images, which dramatically degrades the applicability of SAR images. Conventionally, multi-aspect observation is required to recover the disappeared structures, but this method is not always effective in some cases. This paper proposes a parametric reconstruction of arc-shaped structures in SAR imaging. The proposed method has the ability to reconstruct disappeared arc-shaped structures via three observations. The core idea is to use the anisotropic phase feature to distinguish the endpoints of arc-shaped structures from multiple point-like targets in the image domain and restore the arc through the scattering model. The method basically includes three procedures: arc-shaped structure recognition, parameter estimation, and target reconstruction. Computer simulations and a microwave anechoic chamber experiment are conducted to examine the effectiveness of the method.

Original languageEnglish
Pages (from-to)7143-7165
Number of pages23
JournalInternational Journal of Remote Sensing
Volume42
Issue number18
DOIs
Publication statusPublished - 2021

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Wang, Y., Wen, Y., Chen, X., Kuang, H., Fan, Y., Ding, Z., & Zeng, T. (2021). Parametric reconstruction of arc-shaped structures in synthetic aperture radar imaging. International Journal of Remote Sensing, 42(18), 7143-7165. https://doi.org/10.1080/01431161.2021.1939912