TR2017-136
Bayesian Coupled-Pixel Terahertz-TDS Imaging
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- "Bayesian Coupled-Pixel Terahertz-TDS Imaging", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/IRMMW-THz.2017.8067174, August 2017.BibTeX TR2017-136 PDF
- @inproceedings{Wang2017aug3,
- author = {{Wang, Pu and Orlik, Philip V. and Wang, Bingnan and Ma, Rui and Teo, Koon Hoo and Tsujita, Wataru and Sadamoto, Kota and Sawa, Yoshitsugu}},
- title = {Bayesian Coupled-Pixel Terahertz-TDS Imaging},
- booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
- year = 2017,
- month = aug,
- doi = {10.1109/IRMMW-THz.2017.8067174},
- url = {https://www.merl.com/publications/TR2017-136}
- }
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- "Bayesian Coupled-Pixel Terahertz-TDS Imaging", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/IRMMW-THz.2017.8067174, August 2017.
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Abstract:
This paper considers Terahertz (THz) sensing of contents on a single-layer object with time-domain spectroscopy (TDS) in a reflection mode. With an extremely small pulse width, the THz-TDS sensing is highly sensitive to non-ideal configurations such as a tilted or uneven sample, depth variation due to mechanical scanning operations, and intra-layer reflections. One consequence is sweep distortion resulting from slightly different time delay from different scanning points. In this paper, we follow an existing alternative minimization scheme and propose a simple modification to take into account, in addition to the binary nature of reflection coefficients, the two-dimensional block feature of the content (i.e., letters and shapes) in the sample. Preliminary results with synthetic datasets show the effectiveness of the proposed method.