Accurate Terahertz Three-dimensional Subsurface Imaging by Range Points Migration Method

被引：0
|
作者：
Matsui, Takamaru [1 ]
Kidera, Shouhei [1 ,2 ]
机构：
[1] Univ Electrocommun, Grad Sch Informat & Engn, Chofu, Tokyo, Japan
[2] PRESTO, Japan Soc Sci & Technol JST, Tokyo, Japan
来源：
2019 44TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ) | 2019年
关键词：
D O I：
10.1109/irmmw-thz.2019.8874293
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：
This paper proposes the novel imaging algorithm based on the range points migration (RPM) for the terahertz (THz) subsurface three-dimensional imaging. The inherent problem in the optical lens-based THz imaging system is the depth dependency for the azimuth resolution, and it is fatal, if the depth of object is not available in such as subsurface imaging issue. This paper newly introduces the range points migration (RPM) based auto-focusing algorithm, which is suitable for general THz-time domain spectroscopic (THz-TDS) measurement. The effectiveness of the proposed method has been validated through the THz-TDS measured data.
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页数：2
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