Optimization-Based Terahertz Imaging

被引：4
|
作者：
Tsai, Hsiao-Rho [1 ]
Enderli, Florian [2 ]
Feurer, Thomas [2 ]
Webb, Kevin J. [1 ]
机构：
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
[2] Univ Bern, Inst Appl Phys, CH-3012 Bern, Switzerland
来源：
IEEE TRANSACTIONS ON TERAHERTZ SCIENCE AND TECHNOLOGY | 2012年 / 2卷 / 05期
基金：
美国国家科学基金会; 瑞士国家科学基金会;
关键词：
Optimization; terahertz (THz) imaging; OPTICAL DIFFUSION TOMOGRAPHY;
D O I：
10.1109/TTHZ.2012.2208192
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A terahertz (THz) imaging modality based on nonlinear optimization that is not limited by weak scatter or low refractive index is presented. Two-dimensional reconstructions of sub-wavelength dielectric cylinders in air are performed through iterative coordinate descent (ICD) optimization in a Bayesian framework using experimental data obtained by illuminating the objects with a THz beam. Strategies for avoiding local minima and to allow for faster convergence and improved image quality are presented and evaluated.
引用
收藏
页码：493 / 503
页数：11
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