基于直接采样法和子空间优化法的多介质目标混合逆散射成像方法

周辉林; 郑灵辉; 莫仲念; 王玉皞; 陈良兵

doi:10.11999/JEIT160534

基于直接采样法和子空间优化法的多介质目标混合逆散射成像方法

doi: 10.11999/JEIT160534

基金项目:

国家自然科学基金(61561034, 61261010, 41505015)，江西省自然科学基金(2015BAB207001)，江西省科技支撑计划(20151BBE50090)，江西省研究生创新专项基金(YC2016-S068)

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出版历程
- 收稿日期: 2016-05-26
- 修回日期: 2016-10-11
- 刊出日期: 2017-03-19

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

Funds:

The National Natural Science Foundation of China (61561034, 61261010, 41505015), Jiangxi Provincial Natural Science Foundation (2015BAB207001), The Projects in the Jiangxi Provincial Science Technology Pillar Program (20151BBE- 50090), Jiangxi Provincial Graduate Innovation Special Foundation (YC2016-S068)

摘要

摘要: 该文提出一种结合定性与定量成像方法优势的混合电磁场逆散射成像方法，并将该方法应用于重构多介质目标的电性能参数的空间分布信息。该混合成像方法首先利用基于直接采样法(Direct Sampling Method, DSM)的定性方法快速重构目标的感兴趣区域(Region Of Interesting, ROI)、目标形状及目标个数的先验信息。在此基础上,利用基于子空间优化定量方法结合该先验信息迭代修正目标的几何形状信息，并重构目标的电性能参数的空间分布。基于菲涅尔实验室实测散射场数据表示，该方法与子空间优化法SOM(Subspace-based Optimization Method)定量成像精度相比拟的情况下，极大地降低了定量方法的计算复杂度和提高算法收敛速度。
- 逆散射 /
- 直接采样方法 /
- 子空间优化方法
Abstract: 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.
- Inverse scattering /
- Direct Sampling Methods (DSM) /
- Subspace-based Optimization quantitative Method (SOM)

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参考文献(14)

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