DSM-SOM Based Hybrid Inverse Scattering Method for Multiple Dielectric Objects Reconstruction

被引：1
|
作者：
Zhou H. [1 ]
Zheng L. [1 ]
Mo Z. [1 ]
Wang Y. [1 ]
Chen L. [1 ]
机构：
[1] Institute of Information Engineering, Nanchang University, Nanchang
来源：
Zhou, Huilin (zhouhuilin@ncu.edu.cn) | 2017年 / Science Press卷 / 39期
基金：
中国国家自然科学基金;
关键词：
Direct Sampling Methods (DSM); Inverse scattering; Subspace-based Optimization quantitative Method (SOM);
D O I：
10.11999/JEIT160534
中图分类号：
学科分类号：
摘要：
This paper proposes a hybrid electromagnetic field inverse scattering imaging method based on the advantages of the qualitative and quantitative imaging methods,and it is applied to rebuilding the space distribution information of electric parameters for multi objects. First, the prior knowledge of the Region Of Interesting (ROI) of target, object shape and target number is reconstructed by using Direct Sampling Method (DSM). Then, the geometry information of the objects and the space iteratively corrected distribution information of electric parameters is reconstructed by Subspace-based Optimization quantitative Method(SOM). The experimental result for the scattering field data of Fresnel laboratory shows that the imaging accuracy of this method is comparable to SOM. More over, the proposed technique greatly reduces the computational complexity and improves the convergence speed. © 2017, Science Press. All right reserved.
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页码：758 / 762
页数：4
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