Terahertz Deep Learning Computed Tomography

Yi-Chun Hung; Shang-Hua Yang

doi:10.1109/IRMMW-THz.2019.8873944

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Conference paper

Terahertz Deep Learning Computed Tomography

Yi-Chun Hung and Shang-Hua Yang

International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, Vol.2019-September, 8873944

09/2019

DOI: https://doi.org/10.1109/IRMMW-THz.2019.8873944

Abstract

Energy Engineering and Power Technology

Electrical and Electronic Engineering

We present a supervised terahertz deep learning computed tomography (THz DL-CT) system, which offers superior image quality compared with conventional THz CT method evaluated by 3D printed objects. To the best of our knowledge, this is the first demonstration of a THz DL-CT system capable of visualizing hidden objects with multi-material systems.

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Title: Terahertz Deep Learning Computed Tomography
Translated title: Terahertz Deep Learning Computed Tomography
Creators - without role: Yi-Chun Hung - National Tsing Hua University
Shang-Hua Yang - National Tsing Hua University
Publication Details: International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, Vol.2019-September, 8873944
Identifiers: 9781538682852; 9957766323506774
Academic Unit: Institute of Electronics Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua University
Language: English
Resource Type: Conference paper

Terahertz Deep Learning Computed Tomography

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