A Hierarchical Subspace-Based Optimization Method for Reconstruction of 2-D Uniaxial Anisotropic Scatterers Using Multi-Frequency Data

A Hierarchical Subspace-Based Optimization Method for Reconstruction of 2-D Uniaxial Anisotropic Scatterers Using Multi-Frequency Data
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使用多频数据重建二维单轴各向异性散射体的基于分层子空间的优化方法

DOI:
10.1109/tmag.2021.3077360
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发表时间:
2021-07
影响因子:
2.1
通讯作者:
Zaiping Nie
Zaiping Nie
中科院分区:
工程技术4区
文献类型:
--
作者:
Yuyue Zhang;Qicheng Zhao;Zhiqin Zhao;Zaiping Nie

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在本文中,提出了一种基于子空间的分层优化方法(HSOM),该方法结合了基于子空间的优化方法(SOM)和使用多频率数据的分层策略来重建二维单轴各向异性散射体。分层策略利用在较低频率下获得的结果为较高频率反演提供初始信息。根据范围约束 Otsu 阈值方法,从较低频率的感兴趣域中提取散射体域。然后,较高频率的反演仅在散射体域中执行。与跳频方法相比,该方法可以以低得多的计算量获得更高质量的重建图像。数值例子验证了该方法的有效性。
In this article, a hierarchical subspace-based optimization method (HSOM), which combines the subspace-based optimization method (SOM) and hierarchical strategy using multi-frequency data, is proposed to reconstruct 2-D uniaxial anisotropic scatterers. The hierarchical strategy utilizes the results obtained at lower frequencies to provide initial information for higher frequency inversion. The domain of scatterers is extracted from the domain of interest at lower frequencies according to the range-constrained Otsu thresholding method. Then, the inversion at higher a frequency only executes in the domain of scatterers. Compared with the frequency-hopping approach, this method can obtain higher quality reconstruction images with much lower computation loads. Numerical examples validate the efficacy of the proposed method.
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影响因子: 1.9
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